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Oscillating water column (OWC) systems are water power generation plants that transform wave kinetic energy into electrical energy by a surrounded air column in a chamber that changes its pressure through the waves motion. The chamber pressure output spins a Wells turbine that is linked to a doubly fed induction generator (DFIG), flexible devices that adjust the turbine speed to increase the efficiency. However, there are different nonlinearities associated with these systems such as weather conditions, uncertainties, and turbine stalling phenomenon. In this research, a fuzzy logic controller (FLC) combined with an airflow reference generator (ARG) was designed and validated in a simulation environment to display the efficiency enhancement of an OWC system by the regulation of the turbine speed. Results show that the proposed framework not only increased the system output power, but the stalling is also avoided under different pressure profiles.
Cristian Napole; Oscar Barambones; Mohamed Derbeli; José Cortajarena; Isidro Calvo; Patxi Alkorta; Pablo Bustamante. Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System. Energies 2021, 14, 3499 .
AMA StyleCristian Napole, Oscar Barambones, Mohamed Derbeli, José Cortajarena, Isidro Calvo, Patxi Alkorta, Pablo Bustamante. Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System. Energies. 2021; 14 (12):3499.
Chicago/Turabian StyleCristian Napole; Oscar Barambones; Mohamed Derbeli; José Cortajarena; Isidro Calvo; Patxi Alkorta; Pablo Bustamante. 2021. "Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System." Energies 14, no. 12: 3499.
This paper presents the design and implementation of a control for an electric vehicle charger to provide vehicle to grid (V2G) services while reducing the current total harmonic distortion (THD). The control is composed of two current loops. The main one controls the active and reactive powers in a decoupled way, and the second one, focuses on the reduction of the fifth order harmonic component. After explaining the mathematical modelling, the methodology and the experimental setup, the results of the experimental validation are shown. Several experiments were conducted on a scale-based charger connected to a 400 V grid to observe the performance of the proposed control. Results have shown that the developed control enhances the power quality by reducing the fifth harmonic component by 76.34%, and hence, the current THD from 6.06% to 2.82% and that can successfully provide voltage and frequency regulation without adding extra weight or volume. The proposed strategy can also be extrapolated to other harmonic orders; therefore, it is suitable for grids with high components of certain harmonics. Novelty Statement The paper presents the design and implementation of a control strategy for vehicle chargers aimed at reducing the current THD produced by a specific voltage harmonic of the grid. The control strategy is simple to implement, robust, and does not require additional elements, and thus, not extra weight or volume is added. Thanks to the double-loop, it allows independent control of the active and reactive power and the minimization of the nth harmonic from the current. For the experimental test, the proposed control strategy has been used to develop a Fifth Harmonic Controller (FHC) to suppress the fifth harmonic from the current.
Mikel González; Francisco Javier Asensio; José Ignacio San Martín; Inmaculada Zamora; José Antonio Cortajarena; Oier Oñederra. Vehicle‐to‐grid charging control strategy aimed at minimizing harmonic disturbances. International Journal of Energy Research 2021, 45, 16478 -16488.
AMA StyleMikel González, Francisco Javier Asensio, José Ignacio San Martín, Inmaculada Zamora, José Antonio Cortajarena, Oier Oñederra. Vehicle‐to‐grid charging control strategy aimed at minimizing harmonic disturbances. International Journal of Energy Research. 2021; 45 (11):16478-16488.
Chicago/Turabian StyleMikel González; Francisco Javier Asensio; José Ignacio San Martín; Inmaculada Zamora; José Antonio Cortajarena; Oier Oñederra. 2021. "Vehicle‐to‐grid charging control strategy aimed at minimizing harmonic disturbances." International Journal of Energy Research 45, no. 11: 16478-16488.
Wind-generated energy is a fast-growing source of renewable energy use across the world. A dual-feed induction machine (DFIM) employed in wind generators provides active and reactive, dynamic and static energy support. In this document, the droop control system will be applied to adjust the amplitude and frequency of the grid following the guidelines established for the utility’s smart network supervisor. The wind generator will work with a maximum deloaded power curve, and depending on the reserved active power to compensate the frequency drift, the limit of the reactive power or the variation of the voltage amplitude will be explained. The aim of this paper is to show that the system presented theoretically works correctly on a real platform. The real-time experiments are presented on a test bench based on a 7.5 kW DFIG from Leroy Somer’s commercial machine that is typically used in industrial applications. A synchronous machine that emulates the wind profiles moves the shaft of the DFIG. The amplitude of the microgrid voltage at load variations is improved by regulating the reactive power of the DFIG and this is experimentally proven. The contribution of the active power with the characteristic of the droop control to the load variation is made by means of simulations. Previously, the simulations have been tested with the real system to ensure that the simulations performed faithfully reflect the real system. This is done using a platform based on a real-time interface with the DS1103 from dSPACE.
José Antonio Cortajarena; Oscar Barambones; Patxi Alkorta; Jon Cortajarena. Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid. Mathematics 2021, 9, 143 .
AMA StyleJosé Antonio Cortajarena, Oscar Barambones, Patxi Alkorta, Jon Cortajarena. Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid. Mathematics. 2021; 9 (2):143.
Chicago/Turabian StyleJosé Antonio Cortajarena; Oscar Barambones; Patxi Alkorta; Jon Cortajarena. 2021. "Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid." Mathematics 9, no. 2: 143.
In this document it is presented and experimentally validated a new linear predictive regulator to control the mechanical speed and the rotor flux of induction motor (IM). The regulator is developed in the synchronous reference frame and it provides a very good dynamic performance and guarantees fulfilment with the current constraints, to avoid over currents in stator windings. This predictive controller employs the minimum necessary dynamic model of the motor to get minor computational cost, in which the rotor flux and the load torque are estimated, and in spite of important parametric uncertainties, the performance is excellent. Moreover, the predictive regulator anticipates the response and compensates the mechanical dead time of the speed induction motor drive, getting better results than the classic speed PI control scheme. This control scheme incorporates the space vector pulse width modulation (SVPWM) with two proportional–integral (PI) current controllers, where the rest of dynamics of motor (stator) is controlled and voltage constraints are implemented, ensuring that the modulator always works in the linear area, to prevent distortion in the resulting stator currents. From the experimental tests that have been carried out, it can be concluded that the presented controller provides an effective and robust mechanical velocity and rotor flux tracking, from low to high speed range, with a high accuracy.
Patxi Alkorta; José A. Cortajarena; Oscar Barambones; Francisco J. Maseda. Effective generalized predictive control of induction motor. ISA Transactions 2020, 103, 295 -305.
AMA StylePatxi Alkorta, José A. Cortajarena, Oscar Barambones, Francisco J. Maseda. Effective generalized predictive control of induction motor. ISA Transactions. 2020; 103 ():295-305.
Chicago/Turabian StylePatxi Alkorta; José A. Cortajarena; Oscar Barambones; Francisco J. Maseda. 2020. "Effective generalized predictive control of induction motor." ISA Transactions 103, no. : 295-305.
This document presents an efficient proportional derivative (PD) position controller for three-phase motor drives. The regulator has been designed in frequency domain, employing the direct–quadrature (d–q) synchronous rotating reference frame and the indirect vector control. The presented position regulator is easy to tune and incorporates a feed forward (FF) term to compensate effectively the effect of the load disturbance. This position controller has been validated experimentally by using two industrial three-phase motors: an induction motor (IM) of 7.5 kW and a permanent magnet synchronous motor (PMSM) of 3.83 kW. The inner proportional integral (PI) current loops of both machines have also been designed in the frequency domain. Each machine has connected in its shaft an incremental encoder of 4096 pulses per revolution, to measure the position. Several simulations and experimental tests have been carried out with both motors, in favorable conditions and also with various types of adversities (parametric uncertainties, unknown load disturbance and measurement noise in the position and current loops), getting very good results and suggesting that this controller could be used in the research area and also in the industry.
Patxi Alkorta; Oscar Barambones; José Antonio Cortajarena; Itziar Martija; Fco. Javier Maseda. Effective Position Control for a Three-Phase Motor. Electronics 2020, 9, 241 .
AMA StylePatxi Alkorta, Oscar Barambones, José Antonio Cortajarena, Itziar Martija, Fco. Javier Maseda. Effective Position Control for a Three-Phase Motor. Electronics. 2020; 9 (2):241.
Chicago/Turabian StylePatxi Alkorta; Oscar Barambones; José Antonio Cortajarena; Itziar Martija; Fco. Javier Maseda. 2020. "Effective Position Control for a Three-Phase Motor." Electronics 9, no. 2: 241.
This publication describes a safety concept for an automotive domain battery management system in compliance with ISO 26262. First, Lithium-based battery hazards and risks are assessed, associated safety goals are defined to reduce previously identified risks and automotive safety integrity levels are assigned. Then, a safety architecture that meets previous safety goals and requirements is described at system and subsystem level. This safety architecture describes the overall technical safety concept, diagnosis strategy and measures to reduce the probability of systematic and random faults.
David Marcos; Jon Perez; Pello Zubizarreta; Maitane Garmendia; Igor Perez De Arenaza; Jon Crego; Jose Antonio Cortajarena. A Safety Concept for an Automotive Lithium-based Battery Management System. 2019 Electric Vehicles International Conference (EV) 2019, 1 -6.
AMA StyleDavid Marcos, Jon Perez, Pello Zubizarreta, Maitane Garmendia, Igor Perez De Arenaza, Jon Crego, Jose Antonio Cortajarena. A Safety Concept for an Automotive Lithium-based Battery Management System. 2019 Electric Vehicles International Conference (EV). 2019; ():1-6.
Chicago/Turabian StyleDavid Marcos; Jon Perez; Pello Zubizarreta; Maitane Garmendia; Igor Perez De Arenaza; Jon Crego; Jose Antonio Cortajarena. 2019. "A Safety Concept for an Automotive Lithium-based Battery Management System." 2019 Electric Vehicles International Conference (EV) , no. : 1-6.
Nowadays, the increase in solar energy installations as a source of energy is growing considerably. The connection to the grid of these installations generally injects all the power obtained from the panel as active power, making zero the reactive power. The same power injection system can be used to achieve a unit power factor if the active filter feature is integrated in it. In this paper, an active power filter (APF) that can control both, the MPP (maximum power point) of a photovoltaic system (PV) and the power factor of a nonlinear load connected to the grid using a three phase DC/AC power inverter with new sliding mode controllers is presented. Perturbation–observation (P&O) is the used MPPT algorithm and three Sliding Mode Controllers (SMC) are used to regulate the DC voltage of the PV and the current d and q components of the active filter using the PQ theory. With a SMC, no exact knowledge of the model parameters is required and it offers good behavior against unmodeled dynamics, insensitivity to parameter variations and good rejection of external disturbances. The space vector pulse wide modulation (SVPWM) of 7 and 5 segments is implemented in order to check the efficiency and grid current ripple. Several experimental tests have been carried in different conditions, concluding that the presented system provides an efficient maximum power tracking and a good power filter characteristic.
José Antonio Cortajarena; Oscar Barambones; Patxi Alkorta; Jon Cortajarena. Sliding mode control of an active power filter with photovoltaic maximum power tracking. International Journal of Electrical Power & Energy Systems 2019, 110, 747 -758.
AMA StyleJosé Antonio Cortajarena, Oscar Barambones, Patxi Alkorta, Jon Cortajarena. Sliding mode control of an active power filter with photovoltaic maximum power tracking. International Journal of Electrical Power & Energy Systems. 2019; 110 ():747-758.
Chicago/Turabian StyleJosé Antonio Cortajarena; Oscar Barambones; Patxi Alkorta; Jon Cortajarena. 2019. "Sliding mode control of an active power filter with photovoltaic maximum power tracking." International Journal of Electrical Power & Energy Systems 110, no. : 747-758.
This document studies torque degradation of an internal permanent magnet motor due to an incorrect rotor angle measurement when low rotor angle resolution sensors are used. The performance of the control with different rotor angle resolution is also analysed to determine the torque error due to the use of an incorrect synchronous rotating reference system. To address torque degradation due to the low resolution of Hall sensors, a new method of estimating the rotor angle is proposed that incorporates the information from Hall sensors. In this way, good resolution is achieved, allowing the machine to be controlled over a wide speed range even with rated torque. This method is validated through simulations and real experiments.
José Antonio Cortajarena; Sergio García; Jon Cortajarena; Oscar Barambones; Patxi Alkorta. Influence of the rotor angle precision in control of interior permanent magnet synchronous machine drives and improvement method using sensorless estimator with Hall sensors. IET Power Electronics 2019, 12, 383 -391.
AMA StyleJosé Antonio Cortajarena, Sergio García, Jon Cortajarena, Oscar Barambones, Patxi Alkorta. Influence of the rotor angle precision in control of interior permanent magnet synchronous machine drives and improvement method using sensorless estimator with Hall sensors. IET Power Electronics. 2019; 12 (3):383-391.
Chicago/Turabian StyleJosé Antonio Cortajarena; Sergio García; Jon Cortajarena; Oscar Barambones; Patxi Alkorta. 2019. "Influence of the rotor angle precision in control of interior permanent magnet synchronous machine drives and improvement method using sensorless estimator with Hall sensors." IET Power Electronics 12, no. 3: 383-391.
This work proposes a robust controller for a variable speed wind turbine system with a doubly feed induction generator. The controller aims at tracking the optimal speed of the wind turbine so that extracts the maximum power from the wind. Also, a robust aerodynamic torque observer is proposed in order to avoid the use of wind speed sensors. This torque observer allows to estimate the aerodynamic torque to be used by the controller in order to calculate the value of the optimal reference speed for the wind turbine. The vector control theory is applied in the present approach, and thereby the stator flux-oriented control is used for controlling the speed of the wind turbine generator. The proposed robust control law is based on sliding mode control theory, which has proved to provide good performance under system uncertainties. The stability of the proposed controller under disturbances and parameter uncertainties has been analyzed using the Lyapunov stability theory. Finally, real time experimental results show that, on the one hand, the proposed controller provides high-performance dynamic characteristics, and on the other hand, this scheme is robust with respect to the uncertainties that usually appear in this kind of systems.
Oscar Barambones; Jose A. Cortajarena; Isidro Calvo; Jose M. Gonzalez de Durana; Patxi Alkorta; A. Karami-Mollaee. Variable speed wind turbine control scheme using a robust wind torque estimation. Renewable Energy 2018, 133, 354 -366.
AMA StyleOscar Barambones, Jose A. Cortajarena, Isidro Calvo, Jose M. Gonzalez de Durana, Patxi Alkorta, A. Karami-Mollaee. Variable speed wind turbine control scheme using a robust wind torque estimation. Renewable Energy. 2018; 133 ():354-366.
Chicago/Turabian StyleOscar Barambones; Jose A. Cortajarena; Isidro Calvo; Jose M. Gonzalez de Durana; Patxi Alkorta; A. Karami-Mollaee. 2018. "Variable speed wind turbine control scheme using a robust wind torque estimation." Renewable Energy 133, no. : 354-366.
As most of PV systems, CPV systems are also affected by mismatching losses, particularly due to misalignment of optics and receivers. As a result, module level power electronics can help to increase their energy yield by making every CPV module deliver it maximum power at the output. Among the different alternatives, solutions based on DC power optimizers exhibit higher conversion efficiencies and lower costs than microinverters. However, while microinverters ensure optimal operation independently from the operating conditions, system design with DC power optimizers must be carefully examined to avoid potential underperformance. This paper describes not only the customized design and validation of a high-efficiency and economical DC power optimizer for HCPV systems, but also a comprehensive analysis of the whole system design to optimize its production under expected working conditions.
Ricardo Alonso; Ainhoa Pereda; Eneko Bilbao; Jose Antonio Cortajarena; Iñigo Vidaurrazaga; Eduardo Román. Design and analysis of performance of a DC power optimizer for HCPV systems within CPVMatch project. AIP Conference Proceedings 2018, 2012, 050001 .
AMA StyleRicardo Alonso, Ainhoa Pereda, Eneko Bilbao, Jose Antonio Cortajarena, Iñigo Vidaurrazaga, Eduardo Román. Design and analysis of performance of a DC power optimizer for HCPV systems within CPVMatch project. AIP Conference Proceedings. 2018; 2012 (1):050001.
Chicago/Turabian StyleRicardo Alonso; Ainhoa Pereda; Eneko Bilbao; Jose Antonio Cortajarena; Iñigo Vidaurrazaga; Eduardo Román. 2018. "Design and analysis of performance of a DC power optimizer for HCPV systems within CPVMatch project." AIP Conference Proceedings 2012, no. 1: 050001.
Due to the nonlinear dynamics and uncertainties usually present in wave energy conversion systems, the efficiency of these devices can be enhanced employing a robust control algorithms. Wave energy converters are constructed using electric generators of variable velocity, like double feed induction generator (DFIG) since they may improve the system efficiency to generate power when compared to fixed speed generators. The main reason is that this generators with variable speed may adapt the speed of the turbine in order to maintain the optimal flow coefficient values which improves the efficiency of the Wells turbine. However, a suitable speed controller is required in these systems first in order to avoid the stalling phenomenon and second in order to track the optimal turbine reference velocity that optimizes the power generation. In this paper a real time sliding mode control scheme for wave energy conversion systems that incorporate a Wells turbine and a DFIG is proposed. The Lyapunov stability theory is used to analyse the stability of this control scheme under parameter uncertainties and system disturbances. Next, the proposed control scheme is validated first by means of some simulation examples using the Matlab/Simulink software and second using a real-time experimental platform based on a dSPACE DS1103 control board.
Oscar Barambones; José A. Cortajarena; José M. Gonzalez de Durana; Patxi Alkorta. A real time sliding mode control for a wave energy converter based on a wells turbine. Ocean Engineering 2018, 163, 275 -287.
AMA StyleOscar Barambones, José A. Cortajarena, José M. Gonzalez de Durana, Patxi Alkorta. A real time sliding mode control for a wave energy converter based on a wells turbine. Ocean Engineering. 2018; 163 ():275-287.
Chicago/Turabian StyleOscar Barambones; José A. Cortajarena; José M. Gonzalez de Durana; Patxi Alkorta. 2018. "A real time sliding mode control for a wave energy converter based on a wells turbine." Ocean Engineering 163, no. : 275-287.
Power generated from wind is a fast growing renewable source of the world energy consumption. A double feed induction generator (DFIG) used in wind turbines, provides dynamic and static active and reactive power support. In this paper, the droop control technique is used to regulate the grid amplitude and frequency according to the criteria defined for the smart grid supervisor. Wind turbine will operate in an unloaded maximum power curve, and according to the reserved active power to correct the frequency deviation, the limit of the reactive power or voltage amplitude correction will be explained. In addition, the offset adjustment of the encoder and the stator synchronization and connection to the grid will be explained. The connection process to the grid and the regulation of a real 7.5kW DFIG is performed controlling the active and reactive powers to their reference values. For that, a platform based on a real-time interface with the DS1103 board is used.
Jose Antonio Cortajarena; Julián De Marcos; Patxi Alkorta; Oscar Barambones; Jon Cortajarena. DFIG wind turbine grid connected for frequency and amplitude control in a smart grid. 2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) 2018, 362 -369.
AMA StyleJose Antonio Cortajarena, Julián De Marcos, Patxi Alkorta, Oscar Barambones, Jon Cortajarena. DFIG wind turbine grid connected for frequency and amplitude control in a smart grid. 2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES). 2018; ():362-369.
Chicago/Turabian StyleJose Antonio Cortajarena; Julián De Marcos; Patxi Alkorta; Oscar Barambones; Jon Cortajarena. 2018. "DFIG wind turbine grid connected for frequency and amplitude control in a smart grid." 2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) , no. : 362-369.
José Antonio Cortajarena; Oscar Barambones; Patxi Alkorta; Julián De Marcos. Sliding mode control of grid-tied single-phase inverter in a photovoltaic MPPT application. Solar Energy 2017, 155, 793 -804.
AMA StyleJosé Antonio Cortajarena, Oscar Barambones, Patxi Alkorta, Julián De Marcos. Sliding mode control of grid-tied single-phase inverter in a photovoltaic MPPT application. Solar Energy. 2017; 155 ():793-804.
Chicago/Turabian StyleJosé Antonio Cortajarena; Oscar Barambones; Patxi Alkorta; Julián De Marcos. 2017. "Sliding mode control of grid-tied single-phase inverter in a photovoltaic MPPT application." Solar Energy 155, no. : 793-804.
The incorporation of the full dynamics of the different conversion stages of wave energy converters (WECs), from ocean waves to the electricity grid, is essential for a realistic evaluation of the power flow in the drive train. WECs with different power take-off (PTO) systems, including diverse transmission mechanisms, have been developed in recent decades. However, all the different PTO systems for electricity-producing WECs, regardless of any intermediate transmission mechanism, include an electric generator, linear or rotational. Therefore, accurately modelling the dynamics of electric generators is crucial for all wave-to-wire (W2W) models. This paper presents the models for three popular rotational electric generators (squirrel cage induction machine, permanent magnet synchronous generator and doubly-fed induction generator) and a back-to-back (B2B) power converter and validates such models against experimental data generated using three real electric machines. The input signals for the validation of the mathematical models are designed so that the whole operation range of the electrical generators is covered, including input signals generated using the W2W model that mimic the behaviour of different hydraulic PTO systems. Results demonstrate the effectiveness of the models in accurately reproducing the characteristics of the three electrical machines, including power losses in the different machines and the B2B converter.
Markel Penalba; José-Antonio Cortajarena; John V. Ringwood. Validating a Wave-to-Wire Model for a Wave Energy Converter—Part II: The Electrical System. Energies 2017, 10, 1002 .
AMA StyleMarkel Penalba, José-Antonio Cortajarena, John V. Ringwood. Validating a Wave-to-Wire Model for a Wave Energy Converter—Part II: The Electrical System. Energies. 2017; 10 (7):1002.
Chicago/Turabian StyleMarkel Penalba; José-Antonio Cortajarena; John V. Ringwood. 2017. "Validating a Wave-to-Wire Model for a Wave Energy Converter—Part II: The Electrical System." Energies 10, no. 7: 1002.
Robust control algorithms may improve the efficiency of wave power conversion systems since they present intrinsic nonlinear dynamics and the system uncertainties. Sometimes, the generators that can operate al variable speed (e.g. double feed induction generator) are used at wave power generation plants, since they may improve the system efficiency to generate power when compared to fixed speed generators. The main reason is that this generators with variable speed may adapt the speed of the turbine in order to maintain the optimun flow coefficient value which improving its efficiency. This paper proposes a sliding mode controller for wave power plants based on a double feed induction generator. Also, the presented robust control scheme introduces an adaptive sliding gain that avoids calculating the upper bound for the uncertainties of the system, facilitating its application. The stability of the proposed control scheme is analyzed by means of the Lyapunov stability theory. Finally, the proposed control scheme is validated through some simulation examples.
Oscar Barambones; Jose Antonio Cortajarena; P. Alkorta; J. M. Gonzalez De Durana; Isidro Calvo; J. A. Ramos. Adaptive sliding mode control scheme for a wave power generation plant. 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2017, 1 -6.
AMA StyleOscar Barambones, Jose Antonio Cortajarena, P. Alkorta, J. M. Gonzalez De Durana, Isidro Calvo, J. A. Ramos. Adaptive sliding mode control scheme for a wave power generation plant. 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2017; ():1-6.
Chicago/Turabian StyleOscar Barambones; Jose Antonio Cortajarena; P. Alkorta; J. M. Gonzalez De Durana; Isidro Calvo; J. A. Ramos. 2017. "Adaptive sliding mode control scheme for a wave power generation plant." 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-6.
This paper presents an effective Proportional Derivative (PD) position controller of induction motor drives. A new procedure for controller design in frequency domain and the d-q synchronous rotating reference frame is presented, where the indirect vector control has been used. This position controller is validated experimentally using an industrial induction motor of 7.5 kW and an incremental encoder of 4096 impulses per revolution. The position regulator includes an effective FeedForward (FF) term instead of the Integral action (I), reducing drastically the undesirable effect of the unknown load disturbance on the position tracking. The presented algorithm has been tested using several simulation and real experiments, in suitable conditions and also in adverse conditions employing the unknown load disturbance, parameter uncertainties and measurement noise in the position and stator current loops signals, where its functional robustness is clearly demonstated. The obtained results are very satisfactory, suggesting its use in industry and in the research area to be used as a reference with other advanced position regulators. The stability of the controlled system is demonstrated in frequency domain and also by discretization of poles.
Patxi Alkorta; Oscar Barambones; F. J. Vicandi; Jose Antonio Cortajarena; Itziar Martija. Effective Proportional Derivative position control of induction motor drives. 2016 IEEE International Conference on Industrial Technology (ICIT) 2016, 147 -152.
AMA StylePatxi Alkorta, Oscar Barambones, F. J. Vicandi, Jose Antonio Cortajarena, Itziar Martija. Effective Proportional Derivative position control of induction motor drives. 2016 IEEE International Conference on Industrial Technology (ICIT). 2016; ():147-152.
Chicago/Turabian StylePatxi Alkorta; Oscar Barambones; F. J. Vicandi; Jose Antonio Cortajarena; Itziar Martija. 2016. "Effective Proportional Derivative position control of induction motor drives." 2016 IEEE International Conference on Industrial Technology (ICIT) , no. : 147-152.
In this paper, a real time sliding mode control scheme for a variable speed wind turbine that incorporates a doubly feed induction generator is described. In this design, the so-called vector control theory is applied, in order to simplify the system electrical equations. The proposed control scheme involves a low computational cost and therefore can be implemented in real-time applications using a low cost Digital Signal Processor (DSP). The stability analysis of the proposed sliding mode controller under disturbances and parameter uncertainties is provided using the Lyapunov stability theory. A new experimental platform has been designed and constructed in order to analyze the real-time performance of the proposed controller in a real system. Finally, the experimental validation carried out in the experimental platform shows; on the one hand that the proposed controller provides high-performance dynamic characteristics, and on the other hand that this scheme is robust with respect to the uncertainties that usually appear in the real systems.
Oscar Barambones; Jose A. Cortajarena; Patxi Alkorta; Jose M. Gonzalez De Durana. A Real-Time Sliding Mode Control for a Wind Energy System Based on a Doubly Fed Induction Generator. Energies 2014, 7, 6412 -6433.
AMA StyleOscar Barambones, Jose A. Cortajarena, Patxi Alkorta, Jose M. Gonzalez De Durana. A Real-Time Sliding Mode Control for a Wind Energy System Based on a Doubly Fed Induction Generator. Energies. 2014; 7 (10):6412-6433.
Chicago/Turabian StyleOscar Barambones; Jose A. Cortajarena; Patxi Alkorta; Jose M. Gonzalez De Durana. 2014. "A Real-Time Sliding Mode Control for a Wind Energy System Based on a Doubly Fed Induction Generator." Energies 7, no. 10: 6412-6433.
This paper presents and validates a new proposal for effective speed vector control of induction motors based on linear Generalized Predictive Control (GPC) law. The presented GPC-PI cascade configuration simplifies the design with regard to GPC-GPC cascade configuration, maintaining the advantages of the predictive control algorithm. The robust stability of the closed loop system is demonstrated by the poles placement method for several typical cases of uncertainties in induction motors. The controller has been tested using several simulations and experiments and has been compared with Proportional Integral Derivative (PID) and Sliding Mode (SM) control schemes, obtaining outstanding results in speed tracking even in the presence of parameter uncertainties, unknown load disturbance, and measurement noise in the loop signals, suggesting its use in industrial applications.
Patxi Alkorta; Oscar Barambones; Asier Zubizarreta; José Antonio Cortajarena; Carrillo José Antonio. Effective and Robust Generalized Predictive Speed Control of Induction Motor. Mathematical Problems in Engineering 2013, 2013, 1 -14.
AMA StylePatxi Alkorta, Oscar Barambones, Asier Zubizarreta, José Antonio Cortajarena, Carrillo José Antonio. Effective and Robust Generalized Predictive Speed Control of Induction Motor. Mathematical Problems in Engineering. 2013; 2013 (2):1-14.
Chicago/Turabian StylePatxi Alkorta; Oscar Barambones; Asier Zubizarreta; José Antonio Cortajarena; Carrillo José Antonio. 2013. "Effective and Robust Generalized Predictive Speed Control of Induction Motor." Mathematical Problems in Engineering 2013, no. 2: 1-14.
This paper presents the design and the experimental validation of a new linear multivariable generalized predictive control for speed and rotor flux of induction motor. This control approach has been designed in the d-q rotating reference frame, and the indirect vector control has been employed. Load and flux observers, as well as the possibility of including a model-reference-adaptive-system speed estimator, have been considered in the implementation. The proposed controller not only provides enhanced dynamic performance but also guarantees compliance with physical voltage and current constraints. Hence, it ensures that the space vector pulsewidth modulation (SVPWM) always operates in the linear area and that the stator windings are not damaged due to overcurrent. Moreover, the controller includes a novel torque current tracker that allows obtaining an effective electromagnetic torque without a chattering phenomenon. Several simulation and experimental tests have been carried out, both in suitable and adverse conditions, even at zero speed zone, demonstrating that the proposed controller provides an efficient speed tracking and suggesting its use in industry.
Patxi Alkorta; Oscar Barambones; Jose Antonio Cortajarena; Asier Zubizarrreta. Efficient Multivariable Generalized Predictive Control for Sensorless Induction Motor Drives. IEEE Transactions on Industrial Electronics 2013, 61, 5126 -5134.
AMA StylePatxi Alkorta, Oscar Barambones, Jose Antonio Cortajarena, Asier Zubizarrreta. Efficient Multivariable Generalized Predictive Control for Sensorless Induction Motor Drives. IEEE Transactions on Industrial Electronics. 2013; 61 (9):5126-5134.
Chicago/Turabian StylePatxi Alkorta; Oscar Barambones; Jose Antonio Cortajarena; Asier Zubizarrreta. 2013. "Efficient Multivariable Generalized Predictive Control for Sensorless Induction Motor Drives." IEEE Transactions on Industrial Electronics 61, no. 9: 5126-5134.
This article proposes a neural network model reference adaptive system for the rotor angle and speed estimation of the doubly fed induction generator used in wind turbines. The model reference adaptive system reference signal is the measured rotor current. The adaptive neural network adjusts the weights minimizing the rotor current vector squared error using the steepest descent algorithm. The neural network maximum stable learning rate will be determined for this application. The validity of the proposed neural network model reference adaptive system is verified and analyzed in a real prototype of 7.5-kW doubly fed induction generator. To validate the proposed estimator, the estimated rotor angle and speed in the process of connecting the doubly fed induction generator to the grid and the sensorless regulation according to a random wind speed profile are presented.
Jose Antonio Cortajarena; Julián De Marcos. Neural Network Model Reference Adaptive System Speed Estimation for Sensorless Control of a Doubly Fed Induction Generator. Electric Power Components and Systems 2013, 41, 1146 -1158.
AMA StyleJose Antonio Cortajarena, Julián De Marcos. Neural Network Model Reference Adaptive System Speed Estimation for Sensorless Control of a Doubly Fed Induction Generator. Electric Power Components and Systems. 2013; 41 (12):1146-1158.
Chicago/Turabian StyleJose Antonio Cortajarena; Julián De Marcos. 2013. "Neural Network Model Reference Adaptive System Speed Estimation for Sensorless Control of a Doubly Fed Induction Generator." Electric Power Components and Systems 41, no. 12: 1146-1158.