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In this paper, a parallel estimation system of the stator resistance and the rotor speed is proposed in speed sensorless six-phase induction motor (6PIM) drive. First, a full-order observer is presented to provide the stator current and the rotor flux. Then, an adaptive control law is designed using the Lyapunov stability theorem to estimate the rotor speed. In parallel, a stator resistance identification scheme is proposed using more degrees of freedom of the 6PIM, which is also based on the Lyapunov stability theorem. The main advantage of the proposed method is that the stator resistance adaptation is completely decoupled from the rotor speed estimation algorithm. To increase the robustness of the drive system against external disturbances, noises, and parameter uncertainties, an active disturbance rejection controller (ADRC) is introduced in direct torque control (DTC) of the 6PIM. The experimental results clarify the effectiveness of the proposed approaches.
Hamidreza Heidari; Anton Rassõlkin; Mohammad Hosein Holakooie; Toomas Vaimann; Ants Kallaste; Anouar Belahcen; Dmitry V. Lukichev. A Parallel Estimation System of Stator Resistance and Rotor Speed for Active Disturbance Rejection Control of Six-Phase Induction Motor. Energies 2020, 13, 1121 .
AMA StyleHamidreza Heidari, Anton Rassõlkin, Mohammad Hosein Holakooie, Toomas Vaimann, Ants Kallaste, Anouar Belahcen, Dmitry V. Lukichev. A Parallel Estimation System of Stator Resistance and Rotor Speed for Active Disturbance Rejection Control of Six-Phase Induction Motor. Energies. 2020; 13 (5):1121.
Chicago/Turabian StyleHamidreza Heidari; Anton Rassõlkin; Mohammad Hosein Holakooie; Toomas Vaimann; Ants Kallaste; Anouar Belahcen; Dmitry V. Lukichev. 2020. "A Parallel Estimation System of Stator Resistance and Rotor Speed for Active Disturbance Rejection Control of Six-Phase Induction Motor." Energies 13, no. 5: 1121.
This paper proposes a simple extended Kalman filter (EKF) loss model controller (LMC) for efficiency improvement of a six-phase induction machine in all speed ranges. The proposed method is fast and can be operated online. If the machine parameters are changed during the operation, the EKF algorithm is activated to find the parameters to ensure optimal efficiency operation. Not only is the motor speed measurement difficult at low speeds but it is also difficult to calculate the machine efficiency at the same speeds. Thus, the EKF model can estimate speed, load, and motor efficiency at low speed ranges so that optimization can be done in all loads and speed ranges. Unlike the conventional LMC method, the proposed method is independent of parameter variations. Because of the independency of this method against the parameter variations, it works similarly to the search based efficiency control methods. Two DSP boards including estimator and controller are used to achieve high accuracy and speed in estimating and controlling machines. The simulation and experimental results verify the robustness of the sensorless method against parameter variations.
Asghar Taheri; Hai-Peng Ren; Mohammad Hosein Holakooie. Sensorless Loss Model Control of the Six-Phase Induction Motor in All Speed Range by Extended Kalman Filter. IEEE Access 2020, 8, 118741 -118750.
AMA StyleAsghar Taheri, Hai-Peng Ren, Mohammad Hosein Holakooie. Sensorless Loss Model Control of the Six-Phase Induction Motor in All Speed Range by Extended Kalman Filter. IEEE Access. 2020; 8 (99):118741-118750.
Chicago/Turabian StyleAsghar Taheri; Hai-Peng Ren; Mohammad Hosein Holakooie. 2020. "Sensorless Loss Model Control of the Six-Phase Induction Motor in All Speed Range by Extended Kalman Filter." IEEE Access 8, no. 99: 118741-118750.
In this paper, a new vector control strategy is proposed to reduce torque ripples and harmonic currents represented in switching table-based direct torque control (ST-DTC) of a six-phase induction motor (6PIM). For this purpose, a new set of inputs is provided for the switching table (ST). These inputs are based on the decoupled current components in the synchronous reference frame. Indeed, using both field-oriented control (FOC) and direct torque control (DTC) concepts, precise inputs are applied to the ST in order to achieve better steady-state torque response. By applying the duty cycle control strategy, the loss subspace components are eliminated through a suitable selection of virtual voltage vectors. Each virtual voltage vector is based on a combination of a large and a medium vector to make the average volt-seconds in loss subspace near to zero. Therefore, the proposed strategy not only notably reduces the torque ripples, but also suppresses the low frequency current harmonics, simultaneously. Simulation and experimental results clarify the high performance of the proposed scheme.
Hamidreza Heidari; Anton Rassõlkin; Toomas Vaimann; Ants Kallaste; Asghar Taheri; Mohammad Hosein Holakooie; Anouar Belahcen. A Novel Vector Control Strategy for a Six-Phase Induction Motor with Low Torque Ripples and Harmonic Currents. Energies 2019, 12, 1102 .
AMA StyleHamidreza Heidari, Anton Rassõlkin, Toomas Vaimann, Ants Kallaste, Asghar Taheri, Mohammad Hosein Holakooie, Anouar Belahcen. A Novel Vector Control Strategy for a Six-Phase Induction Motor with Low Torque Ripples and Harmonic Currents. Energies. 2019; 12 (6):1102.
Chicago/Turabian StyleHamidreza Heidari; Anton Rassõlkin; Toomas Vaimann; Ants Kallaste; Asghar Taheri; Mohammad Hosein Holakooie; Anouar Belahcen. 2019. "A Novel Vector Control Strategy for a Six-Phase Induction Motor with Low Torque Ripples and Harmonic Currents." Energies 12, no. 6: 1102.
This paper deals with a model reference adaptive system (MRAS) estimator based on second-order sliding mode (SOSM) strategy for speed-sensorless direct torque control (DTC) of six-phase induction motor (6PIM). A compensated flux observer is proposed using well-known super-twisting algorithm (STA), which is inherently an SOSM technique. This observer is adopted as the reference model in the MRAS-based speed estimator to overcome the chattering problem of the classical sliding-mode techniques. The estimator is robust against parameter uncertainties and dc-offsets. In addition, a super-twisting algorithm-based second-order sliding-mode (ST-SOSM) controller is designed for speed loop in the DTC strategy to increase its robustness under applying external load disturbances. The speed control loop needs the load torque signal. For this purpose, a ST-SOSM load torque observer is proposed, where it provides a robust performance without the penalty of high chattering. Simulation and experimental results confirm the validity and the effectiveness of the proposed approaches.
Mohammad Hosein Holakooie; Mansour Ojaghi; Asghar Taheri. Modified DTC of a Six-Phase Induction Motor With a Second-Order Sliding-Mode MRAS-Based Speed Estimator. IEEE Transactions on Power Electronics 2018, 34, 600 -611.
AMA StyleMohammad Hosein Holakooie, Mansour Ojaghi, Asghar Taheri. Modified DTC of a Six-Phase Induction Motor With a Second-Order Sliding-Mode MRAS-Based Speed Estimator. IEEE Transactions on Power Electronics. 2018; 34 (1):600-611.
Chicago/Turabian StyleMohammad Hosein Holakooie; Mansour Ojaghi; Asghar Taheri. 2018. "Modified DTC of a Six-Phase Induction Motor With a Second-Order Sliding-Mode MRAS-Based Speed Estimator." IEEE Transactions on Power Electronics 34, no. 1: 600-611.
Any mismatch between the real and tuned values of the stator resistance (R 8 ) leads to a degraded performance of the direct torque control (DTC) strategy. The underestimation of R 8 causes an error in the stator flux and torque estimations, thereby weakening the DTC performance; however, an overestimation of R 8 can make the DTC unstable. The main objective of this paper is to present a novel estimator based on the model reference adaptive system (MRAS) for online estimation and tracking of R 8 in the DTC of six-phase induction motors (6PIMs). Voltage and current vectors of 6PIM are mapped into α - β, z 1 - z 2 , and o 1 - o 2 subspaces, where only the α - β components are related to electromechanical energy conversion. The proposed technique uses additional degrees of freedom, i.e., the z 1 - z 2 subspace to estimate R9. The attained merits include simplicity, low computation burden, and low sensitivity to other parameters of the 6PIM. The adaptation law is derived from the Lyapunov stability theory and Popov hyperstability theory. The proposed technique is applied under a duty cycle control based DTC, where z 1 - z 2 currents possess reduced amplitudes in comparison with the conventional DTC. The validity of the proposed system is verified by simulation and experimental results.
Mohammad Hosein Holakooie; Mansour Ojaghi; Asghar Taheri. Direct Torque Control of Six-Phase Induction Motor With a Novel MRAS-Based Stator Resistance Estimator. IEEE Transactions on Industrial Electronics 2018, 65, 7685 -7696.
AMA StyleMohammad Hosein Holakooie, Mansour Ojaghi, Asghar Taheri. Direct Torque Control of Six-Phase Induction Motor With a Novel MRAS-Based Stator Resistance Estimator. IEEE Transactions on Industrial Electronics. 2018; 65 (10):7685-7696.
Chicago/Turabian StyleMohammad Hosein Holakooie; Mansour Ojaghi; Asghar Taheri. 2018. "Direct Torque Control of Six-Phase Induction Motor With a Novel MRAS-Based Stator Resistance Estimator." IEEE Transactions on Industrial Electronics 65, no. 10: 7685-7696.
This paper proposes a local fuzzy based damping controller (LFDC) for thyristor controlled series capacitor (TCSC) to improve transient stability of power systems. In order to implement the proposed scheme, detailed model of TCSC, based on actual behavior of thyristor valves, is adopted. The LFDC uses the frequency at the TCSC bus as a local feedback signal, to control the firing angle. The parameters of fuzzy controller are tuned using an off-line method through chaotic optimization algorithm (COA). To verify the proposed LFDC, numerical simulations are carried out in Matlab/Simpower toolbox for the following case studies: two-area two-machine (TATM), WSCC three-machine nine-bus and Kundur’s two-area four-machine (TAFM) systems under various faults types. In this regard, to more evaluate the effectiveness of the proposed method, the simulation results are compared with the wide-area fuzzy based damping controller (WFDC). Moreover, the transient behavior of the detailed and phasor models of the TCSC is discussed in the TATM power system. The simulation results confirm that the proposed LFDC is an efficient tool for transient stability improvement since it utilizes only local signals, which are easily available.
Mohsen Bakhshi; Mohammad Hosein Holakooie; Abbas Rabiee. Fuzzy based damping controller for TCSC using local measurements to enhance transient stability of power systems. International Journal of Electrical Power & Energy Systems 2017, 85, 12 -21.
AMA StyleMohsen Bakhshi, Mohammad Hosein Holakooie, Abbas Rabiee. Fuzzy based damping controller for TCSC using local measurements to enhance transient stability of power systems. International Journal of Electrical Power & Energy Systems. 2017; 85 ():12-21.
Chicago/Turabian StyleMohsen Bakhshi; Mohammad Hosein Holakooie; Abbas Rabiee. 2017. "Fuzzy based damping controller for TCSC using local measurements to enhance transient stability of power systems." International Journal of Electrical Power & Energy Systems 85, no. : 12-21.
This paper investigates sensorless indirect field oriented control (IFOC) of SLIM with full-order Luenberger observer. The dynamic equations of SLIM are first elaborated to draw full-order Luenberger observer with some simplifying assumption. The observer gain matrix is derived from conventional procedure so that observer poles are proportional to SLIM poles to ensure the stability of system for wide range of linear speed. The operation of observer is significantly impressed by adaptive scheme. A fuzzy logic control (FLC) is proposed as adaptive scheme to estimate linear speed using speed tuning signal. The parameters of FLC are tuned using an off-line method through chaotic optimization algorithm (COA). The performance of the proposed observer is verified by both numerical simulation and real-time hardware-in-the-loop (HIL) implementation. Moreover, a detailed comparative study among proposed and other speed observers is obtained under different operation conditions.
Mohammad Hosein Holakooie; Mansour Ojaghi; Asghar Taheri. Full-order Luenberger observer based on fuzzy-logic control for sensorless field-oriented control of a single-sided linear induction motor. ISA Transactions 2016, 60, 96 -108.
AMA StyleMohammad Hosein Holakooie, Mansour Ojaghi, Asghar Taheri. Full-order Luenberger observer based on fuzzy-logic control for sensorless field-oriented control of a single-sided linear induction motor. ISA Transactions. 2016; 60 ():96-108.
Chicago/Turabian StyleMohammad Hosein Holakooie; Mansour Ojaghi; Asghar Taheri. 2016. "Full-order Luenberger observer based on fuzzy-logic control for sensorless field-oriented control of a single-sided linear induction motor." ISA Transactions 60, no. : 96-108.
MRAS Based Speed Estimator for Sensorless Vector Control of a Linear Induction Motor with Improved Adaptation Mechanisms Adaptation mechanism;Fuzzy controller;Linear induction motor (LIM);Mechanical model;Model reference adaptive system (MRAS);Vector control; This paper deals with model reference adaptive system (MRAS) speed estimators based on a secondary flux for linear induction motors (LIMs). The operation of these estimators significantly depends on an adaptation mechanism. Fixed-gain PI controller is the most common adaptation mechanism that may fail to estimate the speed correctly in different conditions, such as variation in machine parameters and noisy environment. Two adaptation mechanisms are proposed to improve LIM drive system performance, particularly at very low speed. The first adaptation mechanism is based on fuzzy theory, and the second is obtained from an LIM mechanical model. Compared with a conventional PI controller, the proposed adaptation mechanisms have low sensitivity to both variations of machine parameters and noise. The optimum parameters of adaptation mechanisms are tuned using an offline method through chaotic optimization algorithm (COA) because no design criterion is given to provide these values. The efficiency of MRAS speed estimator is validated by both numerical simulation and real-time hardware-in-the-loop (HIL) implementations. Results indicate that the proposed adaptation mechanisms improve performance of MRAS speed estimator.
Mohammad Hosein Holakooie; Asghar Taheri; Mohammad Bagher Bannae Sharifian. MRAS Based Speed Estimator for Sensorless Vector Control of a Linear Induction Motor with Improved Adaptation Mechanisms. Journal of Power Electronics 2015, 15, 1274 -1285.
AMA StyleMohammad Hosein Holakooie, Asghar Taheri, Mohammad Bagher Bannae Sharifian. MRAS Based Speed Estimator for Sensorless Vector Control of a Linear Induction Motor with Improved Adaptation Mechanisms. Journal of Power Electronics. 2015; 15 (5):1274-1285.
Chicago/Turabian StyleMohammad Hosein Holakooie; Asghar Taheri; Mohammad Bagher Bannae Sharifian. 2015. "MRAS Based Speed Estimator for Sensorless Vector Control of a Linear Induction Motor with Improved Adaptation Mechanisms." Journal of Power Electronics 15, no. 5: 1274-1285.