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Dr. Raul Rivas-Perez
Havana Technological University CUJAE

Basic Info


Research Keywords & Expertise

0 Process Control
0 Robust Control
0 fractional order control
0 Inteligent control
0 Advanced Control Systems

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Robust Control
fractional order control
Process Control
Advanced Control Systems
robust system identification
robust predictive control

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Short Biography

Received his engineering and M.Sc degrees (with honors) in Automation and Telemechanic from the Odessa National Polytechnic University, Ukraine in 1979, a Ph.D degree from this university, and from the Institute of Hydraulic Engineering and Land Reclamation (UKrNIIGIM) of Ukrainian Academy of Agrarian Sciences in 1984, and a D.Sc degree from these institutions, and from the Institute of Hydraulic Engineering and Land Reclamation (BNIIGIM) of Kostyakov Academy of Sciences of Russia in 1990. He was Senior Researcher and Full Professor from the Department of Automation and Computer Sciences of the Automatic and Biomedical Engineering Faculty of the Technological University of Havana (CUJAE). Currently, he is a Consultant Professor from this same University. He is a Merit Member of the Cuban Academy of Sciences (ACC). He is a visiting Full Professor at different universities from Europe and Latin America. He has published more than 140 research papers in journals indexed on the Web of Science (WoS), Scopus, and other databases of international prestige, as well as 38 patents granted by different countries. He has participated in diverse international and national research projects. He is doctoral, master, and undergraduate thesis advisor. He is a head of the Advanced Control research group of his university. He has participated in more than 150 international and national congresses and conferences. He is a member of the International Federation of Automatic Control (IFAC).

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Journal article
Published: 05 May 2021 in IEEE Latin America Transactions
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This paper proposes the design of a state feedback Smith predictor controller (SFC-SP) for the effective temperature control in a precalciner of a cement rotary kiln. The dynamic model of this process is obtained from real-time data by applying a system identification procedure. This identification procedure yields a fourth order with dominant time delay transfer function. A state feedback controller combined with a Smith predictor is therefore designed which behaves effectively. Simulated results compare the performance of the proposed controller with a standard PID controller. Two performance indexes have been used in this comparison: the integral absolute error (IAE), and the control effort (EU). Simulations show that the proposed controller provides lower values of these indexes and, therefore, outperforms the standard PID controller in terms of performance and accuracy

ACS Style

Raul Rivas Perez; Vicente Feliu Batlle; Jose Salcedo Hernandez. State Feedback Temperature Control Based on a Smith Predictor in a Precalciner of a Cement Kiln. IEEE Latin America Transactions 2021, 19, 138 -146.

AMA Style

Raul Rivas Perez, Vicente Feliu Batlle, Jose Salcedo Hernandez. State Feedback Temperature Control Based on a Smith Predictor in a Precalciner of a Cement Kiln. IEEE Latin America Transactions. 2021; 19 (01):138-146.

Chicago/Turabian Style

Raul Rivas Perez; Vicente Feliu Batlle; Jose Salcedo Hernandez. 2021. "State Feedback Temperature Control Based on a Smith Predictor in a Precalciner of a Cement Kiln." IEEE Latin America Transactions 19, no. 01: 138-146.

Journal article
Published: 05 December 2020 in ISA Transactions
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The robust control of the crude oil outlet temperature uniformity in a heating furnace of a petroleum refinery is addressed. A reliable dynamic model of the nominal process has been attained using a system identification procedure based on real-time data. This procedure yields a second order model with a dominant time-delay. A PI controller embedded in a modified Smith predictor structure is therefore proposed. Sensitivity and robustness properties of this control system are analytically obtained. Based on that, a tuning procedure is developed for this control system which has lower sensitivity to disturbances than the standard Smith predictor while guaranteeing the system stability when plant parameters change. Simulations are carried out of the proposed control system and other well-known linear advanced process control systems. The comparison of the obtained results shows the superior performance of our control system in most cases, both in rejecting a variety of disturbances and in maintaining the closed-loop stability when the process parameters change.

ACS Style

Vicente Feliu-Batlle; Raul Rivas-Perez. Control of the temperature in a petroleum refinery heating furnace based on a robust modified Smith predictor. ISA Transactions 2020, 112, 251 -270.

AMA Style

Vicente Feliu-Batlle, Raul Rivas-Perez. Control of the temperature in a petroleum refinery heating furnace based on a robust modified Smith predictor. ISA Transactions. 2020; 112 ():251-270.

Chicago/Turabian Style

Vicente Feliu-Batlle; Raul Rivas-Perez. 2020. "Control of the temperature in a petroleum refinery heating furnace based on a robust modified Smith predictor." ISA Transactions 112, no. : 251-270.

Journal article
Published: 04 September 2020 in Processes
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Currently, the use of industrial seawater reverse osmosis desalination (ISROD) plants has increased in popularity in light of the growing global demand for freshwater. In ISROD plants, any fault in the components of their control systems can lead to a plant malfunction, and this condition can originate safety risks, energy waste, as well as affect the quality of freshwater. This paper addresses the design of a fault detection and isolation (FDI) system based on a structural analysis approach for an ISROD plant located in Lima (Peru). Structural analysis allows obtaining a plant model, which is useful to generate diagnostic tests. Here, diagnostic tests via fault-driven minimal structurally overdetermined (FMSO) sets are computed, and then, binary integer linear programming (BILP) is used to select the FMSO sets that guarantee isolation. Simulations shows that all the faults of interest (sensors and actuators faults) are detected and isolated according to the proposed design.

ACS Style

Gustavo Pérez-Zuñiga; Raul Rivas-Perez; Javier Sotomayor-Moriano; Victor Sánchez-Zurita. Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant. Processes 2020, 8, 1100 .

AMA Style

Gustavo Pérez-Zuñiga, Raul Rivas-Perez, Javier Sotomayor-Moriano, Victor Sánchez-Zurita. Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant. Processes. 2020; 8 (9):1100.

Chicago/Turabian Style

Gustavo Pérez-Zuñiga; Raul Rivas-Perez; Javier Sotomayor-Moriano; Victor Sánchez-Zurita. 2020. "Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant." Processes 8, no. 9: 1100.

Journal article
Published: 03 March 2020 in Applied Sciences
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This article addresses the design of a robust H2 state feedback controller (H2-SFC) for the effective temperature control in the heating zone of the steel slab reheating furnace. Based on the available field data and system identification procedures, a mathematical model of the heating zone is derived, which presents autoregressive-moving average with exogenous input (ARMAX) structure and fourth order. The design of an H2-SFC controller for the effective control of the heating zone temperature of the slab reheating furnace under study is developed. The simulation results of the designed control system showed its high effectiveness compared to the conventional PID control.

ACS Style

José Salcedo-Hernández; Raul Rivas-Perez; Javier Sotomayor-Moriano. Design of a Robust H2 State Feedback Temperature Controller for a Steel Slab Reheating Furnace. Applied Sciences 2020, 10, 1731 .

AMA Style

José Salcedo-Hernández, Raul Rivas-Perez, Javier Sotomayor-Moriano. Design of a Robust H2 State Feedback Temperature Controller for a Steel Slab Reheating Furnace. Applied Sciences. 2020; 10 (5):1731.

Chicago/Turabian Style

José Salcedo-Hernández; Raul Rivas-Perez; Javier Sotomayor-Moriano. 2020. "Design of a Robust H2 State Feedback Temperature Controller for a Steel Slab Reheating Furnace." Applied Sciences 10, no. 5: 1731.

Journal article
Published: 01 January 2020 in IFAC-PapersOnLine
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The control of the temperature of the burning zone of an industrial cement rotary kiln is addressed in this paper. An experimental identification of the process was carried out, which yielded a second order transfer function with no zeros but with a very large time delay. Moreover, it was detected that this time delay could change between ±8% of its nominal value. Then a robust controller had to be designed for this process. A standard PI controller, a PI controller embedded in a Smith Predictor scheme, and a fractional-order controller embedded in a Smith Predictor have been studied. A method to design the fractional-order controller is developed in this paper that yields better results than the other studied controllers. Simulated results are presented.

ACS Style

V. Feliu-Batlle; R. Rivas-Perez. Design of a Robust Fractional Order Controller for Burning Zone Temperature Control in an Industrial Cement Rotary Kiln. IFAC-PapersOnLine 2020, 53, 3657 -3662.

AMA Style

V. Feliu-Batlle, R. Rivas-Perez. Design of a Robust Fractional Order Controller for Burning Zone Temperature Control in an Industrial Cement Rotary Kiln. IFAC-PapersOnLine. 2020; 53 (2):3657-3662.

Chicago/Turabian Style

V. Feliu-Batlle; R. Rivas-Perez. 2020. "Design of a Robust Fractional Order Controller for Burning Zone Temperature Control in an Industrial Cement Rotary Kiln." IFAC-PapersOnLine 53, no. 2: 3657-3662.

Journal article
Published: 23 July 2019 in Transactions of the Institute of Measurement and Control
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In this paper, a new strategy for robust control of temperature in a steel slab reheating furnace with large time delay uncertainty based on fractional-order controllers combined with a Smith predictor is proposed. A time delay model of the preheating zone of this process is used, obtained from an identification procedure applied in a real industrial furnace. It is shown that this process experiences very large time delay changes. A fractional-order integral controller embedded in a Smith predictor structure (FI-SP) is designed, which is robust to changes in such time delay. Simulated results of a standard Proportinal Integral Derivative (PID) controller, a PID controller embedded in a Smith predictor and the proposed FI-SP controller are compared. Six performance indexes have been used in this comparison. The analysis of these indexes shows that the designed FI-SP controller exhibits the most robust behavior (lowest indexes averaged in all the range of time delay variation) for ranges that include large time delays. Then the robustness features of the FI-SP controller outperform the other integer order controllers in the time responses both to set-point changes and to step disturbances. Therefore, this controller guarantees the best accuracy of temperature control. The designed FI-SP guarantees system stability and robust performance for a high range of plant time delay uncertainties.

ACS Style

Vicente Feliu-Batlle; Raul Rivas-Perez. Smith predictor based fractional-order integral controller for robust temperature control in a steel slab reheating furnace. Transactions of the Institute of Measurement and Control 2019, 41, 4521 -4534.

AMA Style

Vicente Feliu-Batlle, Raul Rivas-Perez. Smith predictor based fractional-order integral controller for robust temperature control in a steel slab reheating furnace. Transactions of the Institute of Measurement and Control. 2019; 41 (16):4521-4534.

Chicago/Turabian Style

Vicente Feliu-Batlle; Raul Rivas-Perez. 2019. "Smith predictor based fractional-order integral controller for robust temperature control in a steel slab reheating furnace." Transactions of the Institute of Measurement and Control 41, no. 16: 4521-4534.

Journal article
Published: 22 July 2019 in Applied Sciences
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This article addresses the design and real-time implementation of an expert model predictive controller (Expert MPC) for the control of the brackish and seawater desalination process in a pilot-scale reverse osmosis (RO) plant. This pilot-scale plant is used in order to obtain the optimal operation conditions of the RO desalination process through the implementation of different control strategies, as well as in the training of operators in the new control and management technologies. A dynamical mathematical model of this plant has been developed based on the available field data and system identification procedures. Predictions of the obtained model were in good agreement with the available field data. The designed Expert MPC is distinguished by having a plant identification block and an expert system. The expert system, using a rule-based approach and the evolution of the plant variables, can modify the plant identification block, the plant prediction model, and/or the optimizer in order to improve the performance, robustness and operational safety of the overall control system. The real-time comparison results of the designed Expert MPC and a well-designed model predictive controller (MPC) show that the proposed Expert MPC has a significantly better performance and, therefore, higher accuracy and robustness.

ACS Style

Raul Rivas-Perez; Javier Sotomayor-Moriano; Pérezzuñiga; Mario E. Soto-Angles. Real-Time Implementation of an Expert Model Predictive Controller in a Pilot-Scale Reverse Osmosis Plant for Brackish and Seawater Desalination. Applied Sciences 2019, 9, 2932 .

AMA Style

Raul Rivas-Perez, Javier Sotomayor-Moriano, Pérezzuñiga, Mario E. Soto-Angles. Real-Time Implementation of an Expert Model Predictive Controller in a Pilot-Scale Reverse Osmosis Plant for Brackish and Seawater Desalination. Applied Sciences. 2019; 9 (14):2932.

Chicago/Turabian Style

Raul Rivas-Perez; Javier Sotomayor-Moriano; Pérezzuñiga; Mario E. Soto-Angles. 2019. "Real-Time Implementation of an Expert Model Predictive Controller in a Pilot-Scale Reverse Osmosis Plant for Brackish and Seawater Desalination." Applied Sciences 9, no. 14: 2932.

Journal article
Published: 21 March 2019 in Entropy
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This article addresses the identification of the nonlinear dynamics of the main pool of a laboratory hydraulic canal installed in the University of Castilla La Mancha. A new dynamic model has been developed by taking into account the measurement errors caused by the different parts of our experimental setup: (a) the nonlinearity associated to the input signal, which is caused by the movements of the upstream gate, is avoided by using a nonlinear equivalent upstream gate model, (b) the nonlinearity associated to the output signal, caused by the sensor’s resolution, is avoided by using a quantization model in the identification process, and (c) the nonlinear behaviour of the canal, which is related to the working flow regime, is taken into account considering two completely different models in function of the operating regime: the free and the submerged flows. The proposed technique of identification is based on the time-domain data. An input pseudo-random binary signal (PRBS) is designed depending on the parameters of an initially estimated linear model that was obtained by using a fundamental technique of identification. Fractional and integer order plus time delay models are used to approximate the responses of the main pool of the canal in its different flow regimes. An accurate model has been obtained, which is composed of two submodels: a first order plus time delay submodel that accurately describes the dynamics of the free flow and a fractional-order plus time delay submodel that properly describes the dynamics of the submerged flow.

ACS Style

Saddam Gharab; Vicente Feliu-Batlle; Raul Rivas-Perez. A Fractional-Order Partially Non-Linear Model of a Laboratory Prototype of Hydraulic Canal System. Entropy 2019, 21, 309 .

AMA Style

Saddam Gharab, Vicente Feliu-Batlle, Raul Rivas-Perez. A Fractional-Order Partially Non-Linear Model of a Laboratory Prototype of Hydraulic Canal System. Entropy. 2019; 21 (3):309.

Chicago/Turabian Style

Saddam Gharab; Vicente Feliu-Batlle; Raul Rivas-Perez. 2019. "A Fractional-Order Partially Non-Linear Model of a Laboratory Prototype of Hydraulic Canal System." Entropy 21, no. 3: 309.

Journal article
Published: 01 November 2018 in ISA Transactions
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ACS Style

Vicente Feliu-Batlle; Daniel Feliu-Talegón; Andres San-Millan; Raul Rivas-Perez. Wiener-Hopf optimal control of a hydraulic canal prototype with fractional order dynamics. ISA Transactions 2018, 82, 130 -144.

AMA Style

Vicente Feliu-Batlle, Daniel Feliu-Talegón, Andres San-Millan, Raul Rivas-Perez. Wiener-Hopf optimal control of a hydraulic canal prototype with fractional order dynamics. ISA Transactions. 2018; 82 ():130-144.

Chicago/Turabian Style

Vicente Feliu-Batlle; Daniel Feliu-Talegón; Andres San-Millan; Raul Rivas-Perez. 2018. "Wiener-Hopf optimal control of a hydraulic canal prototype with fractional order dynamics." ISA Transactions 82, no. : 130-144.

Conference paper
Published: 01 September 2018 in 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA)
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A model reference adaptive controller (MRAC) for the effective control of the calcination temperature on a rotary cement kiln was developed. Using the tools of identification systems was obtained a mathematical model of the process under study, which presents ARMAX structure and fourth order. The simulation results of the control system developed showed their high effectiveness compared to conventional PID control.

ACS Style

José Salcedo-Hernández; Raul Rivas-Perez; Juan Javier Sotomayor Moriano. Model Reference Adaptive Temperature Control of a Rotary Cement Kiln. 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA) 2018, 1 -4.

AMA Style

José Salcedo-Hernández, Raul Rivas-Perez, Juan Javier Sotomayor Moriano. Model Reference Adaptive Temperature Control of a Rotary Cement Kiln. 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA). 2018; ():1-4.

Chicago/Turabian Style

José Salcedo-Hernández; Raul Rivas-Perez; Juan Javier Sotomayor Moriano. 2018. "Model Reference Adaptive Temperature Control of a Rotary Cement Kiln." 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA) , no. : 1-4.

Journal article
Published: 03 August 2017 in Entropy
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In this paper a two-input, two-output (TITO) fractional order mathematical model of a laboratory prototype of a hydraulic canal is proposed. This canal is made up of two pools that have a strong interaction between them. The inputs of the TITO model are the pump flow and the opening of an intermediate gate, and the two outputs are the water levels in the two pools. Based on the experiments developed in a laboratory prototype the parameters of the mathematical models have been identified. Then, considering the TITO model, a first control loop of the pump is closed to reproduce real-world conditions in which the water level of the first pool is not dependent on the opening of the upstream gate, thus leading to an equivalent single input, single output (SISO) system. The comparison of the resulting system with the classical first order systems typically utilized to model hydraulic canals shows that the proposed model has significantly lower error: about 50%, and, therefore, higher accuracy in capturing the canal dynamics. This model has also been utilized to optimize the design of the controller of the pump of the canal, thus achieving a faster response to step commands and thus minimizing the interaction between the two pools of the experimental platform.

ACS Style

Andres San-Millan; Daniel Feliu-Talegón; Vicente Feliu-Batlle; Raul Rivas-Perez. On the Modelling and Control of a Laboratory Prototype of a Hydraulic Canal Based on a TITO Fractional-Order Model. Entropy 2017, 19, 401 .

AMA Style

Andres San-Millan, Daniel Feliu-Talegón, Vicente Feliu-Batlle, Raul Rivas-Perez. On the Modelling and Control of a Laboratory Prototype of a Hydraulic Canal Based on a TITO Fractional-Order Model. Entropy. 2017; 19 (8):401.

Chicago/Turabian Style

Andres San-Millan; Daniel Feliu-Talegón; Vicente Feliu-Batlle; Raul Rivas-Perez. 2017. "On the Modelling and Control of a Laboratory Prototype of a Hydraulic Canal Based on a TITO Fractional-Order Model." Entropy 19, no. 8: 401.

Journal article
Published: 01 July 2017 in IFAC-PapersOnLine
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ACS Style

Raul Rivas-Perez; J. Sotomayor-Moriano; Gustavo Perez-Zuñiga. Adaptive Expert Generalized Predictive Multivariable Control of Seawater RO Desalination Plant for a Mineral Processing Facility. IFAC-PapersOnLine 2017, 50, 10244 -10249.

AMA Style

Raul Rivas-Perez, J. Sotomayor-Moriano, Gustavo Perez-Zuñiga. Adaptive Expert Generalized Predictive Multivariable Control of Seawater RO Desalination Plant for a Mineral Processing Facility. IFAC-PapersOnLine. 2017; 50 (1):10244-10249.

Chicago/Turabian Style

Raul Rivas-Perez; J. Sotomayor-Moriano; Gustavo Perez-Zuñiga. 2017. "Adaptive Expert Generalized Predictive Multivariable Control of Seawater RO Desalination Plant for a Mineral Processing Facility." IFAC-PapersOnLine 50, no. 1: 10244-10249.

Journal article
Published: 01 July 2017 in IFAC-PapersOnLine
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ACS Style

Vicente Feliu-Batlle; Raul Rivas-Perez; A. Linares-Saez. Fractional Order Robust Control of a Reverse Osmosis Seawater Desalination Plant. IFAC-PapersOnLine 2017, 50, 14545 -14550.

AMA Style

Vicente Feliu-Batlle, Raul Rivas-Perez, A. Linares-Saez. Fractional Order Robust Control of a Reverse Osmosis Seawater Desalination Plant. IFAC-PapersOnLine. 2017; 50 (1):14545-14550.

Chicago/Turabian Style

Vicente Feliu-Batlle; Raul Rivas-Perez; A. Linares-Saez. 2017. "Fractional Order Robust Control of a Reverse Osmosis Seawater Desalination Plant." IFAC-PapersOnLine 50, no. 1: 14545-14550.

Conference paper
Published: 01 April 2017 in 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT)
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In this paper a fractional order model for an irrigation main canal is proposed. This system has two pools that present a strong interaction between them. Then a multivariable model with two inputs: the pump flow and the opening of an intermediate gate, and two outputs: the water levels in the two pools, is derived. The identification of the model parameters is based on the experiments developed in a laboratory prototype of a hydraulic canal and the application of a direct system identification methodology. The accuracy of the proposed fractional order models is compared with the standard integer-order models of the canal. The parameters of the mathematical models have been identified by minimizing the Integral Square Error Index (ISE) existing between the time responses of the models and the real-time experimental data obtained from the canal prototype. A comparison of the performances of the integer-order and fractional-order models shows that the fractional-order model has significantly lower error: about 30%, and, therefore, higher accuracy in capturing the canal dynamics.

ACS Style

Vicente Feliu-Batlle; Andres San-Millan; Daniel Feliu-Talegon; Raul Rivas-Perez. Multivariable fractional-order model of a laboratory hydraulic canal with two pools. 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT) 2017, 0450 -0455.

AMA Style

Vicente Feliu-Batlle, Andres San-Millan, Daniel Feliu-Talegon, Raul Rivas-Perez. Multivariable fractional-order model of a laboratory hydraulic canal with two pools. 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT). 2017; ():0450-0455.

Chicago/Turabian Style

Vicente Feliu-Batlle; Andres San-Millan; Daniel Feliu-Talegon; Raul Rivas-Perez. 2017. "Multivariable fractional-order model of a laboratory hydraulic canal with two pools." 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT) , no. : 0450-0455.

Journal article
Published: 01 November 2016 in Control Engineering Practice
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Highlights•A model of an electrode of an industrial electric arc furnace has been identified.•Robust controllers were designed that guarantee minimum frequency specifications.•Fractional order PI controllers outperformed standard PI and PID controllers.•Tuning of fractional order PI controller is simpler than other robust controllers. AbstractA fractional-order controller with a PαIPIα structure is proposed for controlling the position of the electrodes of an electric arc furnace (EAF). The dynamics of one of the electrodes of an industrial EAF process was experimentally identified yielding an equivalent fourth order plus time delay transfer function which showed strong plant parameter variations and measured and unmeasured disturbances. A new methodology for the design of fractional-order robust controllers for this system has been proposed. It was shown that the attained controllers significantly outperformed the robustness achieved with PI and PID controllers while adding only moderate complexity to the control structure.

ACS Style

V. Feliu-Batlle; R. Rivas-Perez. Robust fractional-order controller for an EAF electrode position system. Control Engineering Practice 2016, 56, 159 -173.

AMA Style

V. Feliu-Batlle, R. Rivas-Perez. Robust fractional-order controller for an EAF electrode position system. Control Engineering Practice. 2016; 56 ():159-173.

Chicago/Turabian Style

V. Feliu-Batlle; R. Rivas-Perez. 2016. "Robust fractional-order controller for an EAF electrode position system." Control Engineering Practice 56, no. : 159-173.

Journal article
Published: 01 November 2016 in IEEE Latin America Transactions
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ACS Style

I.O. Benitez; Raul Rivas-Perez; Vicente Feliu-Batlle; L.P. Sanchez. Fuzzy Gain Scheduled Smith Predictor for Temperature Control in an Industrial Steel Slab Reheating Furnace. IEEE Latin America Transactions 2016, 14, 4439 -4447.

AMA Style

I.O. Benitez, Raul Rivas-Perez, Vicente Feliu-Batlle, L.P. Sanchez. Fuzzy Gain Scheduled Smith Predictor for Temperature Control in an Industrial Steel Slab Reheating Furnace. IEEE Latin America Transactions. 2016; 14 (11):4439-4447.

Chicago/Turabian Style

I.O. Benitez; Raul Rivas-Perez; Vicente Feliu-Batlle; L.P. Sanchez. 2016. "Fuzzy Gain Scheduled Smith Predictor for Temperature Control in an Industrial Steel Slab Reheating Furnace." IEEE Latin America Transactions 14, no. 11: 4439-4447.

Journal article
Published: 21 March 2016 in IEEE Latin America Transactions
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This paper propose a neuro-fuzzy Smith predictor controller (NFSP) for effective control of water distribution in an irrigation main canal, which allows to improve the efficiency and to reduce the water losses. The dynamic model of this process is obtained from an identification procedure based in real-time data. A neuro-fuzzy controller combined with a Smith predictor is therefore designed which behaves robustly against the effect of external disturbance and plant dynamical parameters variations. Simulated results compare the performance of the proposed controller with a standard PI controller, also combined with a conventional Smith predictor for several operation conditions. These results show that the proposed controller outperforms the standard controller in terms of performance and robustness.

ACS Style

Edwin Milton Calderon Mendoza; Raul Rivas-Perez; Juan Javier Sotomayor Moriano. Design of Neuro-Fuzzy Controller for Control of Water Distribution in an Irrigation Main Canal. IEEE Latin America Transactions 2016, 14, 471 -476.

AMA Style

Edwin Milton Calderon Mendoza, Raul Rivas-Perez, Juan Javier Sotomayor Moriano. Design of Neuro-Fuzzy Controller for Control of Water Distribution in an Irrigation Main Canal. IEEE Latin America Transactions. 2016; 14 (2):471-476.

Chicago/Turabian Style

Edwin Milton Calderon Mendoza; Raul Rivas-Perez; Juan Javier Sotomayor Moriano. 2016. "Design of Neuro-Fuzzy Controller for Control of Water Distribution in an Irrigation Main Canal." IEEE Latin America Transactions 14, no. 2: 471-476.

Journal article
Published: 28 August 2015 in Spanish Journal of Agricultural Research
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In this paper a fractional order model for an irrigation main canal is proposed. It is based on the experiments developed in a laboratory prototype of a hydraulic canal and the application of a direct system identification methodology. The hydraulic processes that take place in this canal are equivalent to those that occur in real main irrigation canals and the results obtained here can therefore be easily extended to real canals. The accuracy of the proposed fractional order model is compared by deriving two other integer-order models of the canal of a complexity similar to that proposed here. The parameters of these three mathematical models have been identified by minimizing the Integral Square Error (ISE) performance index existing between the models and the real-time experimental data obtained from the canal prototype. A comparison of the performances of these three models shows that the fractional-order model has the lowest error and therefore the higher accuracy. Experiments showed that our model outperformed the accuracy of the integer-order models by about 25%, which is a significant improvement as regards to capturing the canal dynamics.

ACS Style

Shlomi N. Calderon-Valdez; Vicente Feliu-Batlle; Raul Rivas-Perez. Fractional-order mathematical model of an irrigation main canal pool. Spanish Journal of Agricultural Research 2015, 13, e0212 .

AMA Style

Shlomi N. Calderon-Valdez, Vicente Feliu-Batlle, Raul Rivas-Perez. Fractional-order mathematical model of an irrigation main canal pool. Spanish Journal of Agricultural Research. 2015; 13 (3):e0212.

Chicago/Turabian Style

Shlomi N. Calderon-Valdez; Vicente Feliu-Batlle; Raul Rivas-Perez. 2015. "Fractional-order mathematical model of an irrigation main canal pool." Spanish Journal of Agricultural Research 13, no. 3: e0212.

Journal article
Published: 13 May 2015 in IEEE Latin America Transactions
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This paper proposes a modified Smith predictor scheme for temperature control during the formulation of injectable drugs in chemical reactors. The dynamic model of this process is obtained from an identification procedure applied in a real chemical reactor of the pharmaceutical industry. This identification procedure yields a second order with dominant time delay transfer function. A PI controller combined with a modified Smith predictor is therefore designed which behaves robustly against the effect of measured or unmeasured external disturbances. Simulated results compare the performance of the proposed controller with a standard PI controller, also combined with a conventional Smith predictor, and with Astrom modified Smith predictor. Four performance indexes have been used in this comparison: three related to the output performance (settling time, overshooting, and IAE), and a fourth one related to the control effort (EU). The analysis of these indexes shows that the proposed controller provides lower values of the compared indexes.

ACS Style

Ivon Oristela Benitez Gonzalez; Raul Rivas-Perez; Vicente Feliu-Batlle; Fernando J. Castillo-Garcia. Temperature Control Based on a Modified Smith Predictor for Injectable Drug Formulations. IEEE Latin America Transactions 2015, 13, 1041 -1047.

AMA Style

Ivon Oristela Benitez Gonzalez, Raul Rivas-Perez, Vicente Feliu-Batlle, Fernando J. Castillo-Garcia. Temperature Control Based on a Modified Smith Predictor for Injectable Drug Formulations. IEEE Latin America Transactions. 2015; 13 (4):1041-1047.

Chicago/Turabian Style

Ivon Oristela Benitez Gonzalez; Raul Rivas-Perez; Vicente Feliu-Batlle; Fernando J. Castillo-Garcia. 2015. "Temperature Control Based on a Modified Smith Predictor for Injectable Drug Formulations." IEEE Latin America Transactions 13, no. 4: 1041-1047.

Conference paper
Published: 01 June 2014 in ICFDA'14 International Conference on Fractional Differentiation and Its Applications 2014
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This paper proposes a new strategy to control the temperature of a steel slab reheating furnace based on fractional-order controllers. A second order plus time delay model of the preheating zone of this process is used, which was obtained from an identification procedure applied in an industrial furnace. It is shown that this process experiences very large time delay changes. A fractional-order integral controller (FI) combined with a Smith predictor is designed, which is robust to changes in such time delay. Simulated results of a standard PID controller, PI controller combined with a Smith predictor and the proposed FI controller also combined with a Smith predictor are compared. Seven performance indexes have been used in this comparison: four related to the output performance (settling time, overshoot, ISE and IAE), and three related to the control signal (maximum amplitude, control effort TV and fuel consumption). The analysis of these indexes show that the fractional-order controller exhibits the most robust behaviour (lowest indexes averaged in all the range of time delay variation) for ranges that include large time delays. Then the robustness features of the FI controller combined with a Smith predictor outperform the other integer order controllers both in the time response to a setpoint change and in the control effort aspects.

ACS Style

Vicente Feliu-Batlle; Raul Rivas-Perez; Fernando J. Castillo-García. Robust fractional-order temperature control of a steel slab reheating furnace with large time delay uncertainty. ICFDA'14 International Conference on Fractional Differentiation and Its Applications 2014 2014, 1 -6.

AMA Style

Vicente Feliu-Batlle, Raul Rivas-Perez, Fernando J. Castillo-García. Robust fractional-order temperature control of a steel slab reheating furnace with large time delay uncertainty. ICFDA'14 International Conference on Fractional Differentiation and Its Applications 2014. 2014; ():1-6.

Chicago/Turabian Style

Vicente Feliu-Batlle; Raul Rivas-Perez; Fernando J. Castillo-García. 2014. "Robust fractional-order temperature control of a steel slab reheating furnace with large time delay uncertainty." ICFDA'14 International Conference on Fractional Differentiation and Its Applications 2014 , no. : 1-6.