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Optimal LQI and PID Synthesis for Speed Control of Switched Reluctance Motor Using Metaheuristic Techniques

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Abstract

At present, switched reluctance motors (SRM) become very interesting for many industrial applications in variable speed control. For such systems, the linear quadratic regulator with integral action (LQI) method is commonly used when using plants in state spaces due to its robustness and easy adjustment. All methods from the linear quadratic regulator (LQR) project provide a weighting of the Q and R matrices, which are manually adjusted to achieve the desired performance. The manual fine tuning of LQI controller parameters is a difficult task that requires a high level of domain knowledge. In this work, metaheuristic algorithms are explored to design the LQI controller and a comprehensive comparison is made between these algorithms and Proportional-Integral-Derivative (PID) controller as well as to select the best technique for the LQI controller design and adjustment of the Q and R parameters in SR Motor. Simulation and experimental results on a setup prototype are shown to validate the proposed control schemes. This paper has as main contributions the weighting of the parameters of the LQI in an optimized way and adjustment of the gains of the controller more quickly and the hybrid controller (LQI + GA) becomes more powerful in the sense of a possible extension of the control of a multivariable system.

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Authors and Affiliations

  1. Department of Electrical Engineering, Federal University of Ceará, Fortaleza, CE, 60455-760, Brazil

    Darielson A. Souza, Vinícius A. de Mesquita, Laurinda L. N. Reis, Wellington A. Silva & Josias G. Batista

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  1. Darielson A. Souza
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  2. Vinícius A. de Mesquita
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  3. Laurinda L. N. Reis
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  4. Wellington A. Silva
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  5. Josias G. Batista
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Correspondence to Darielson A. Souza.

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Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Recommended by Editor Young IL Lee. The authors thank to CAPES for the financial support to this work.

Darielson A. Souza is currently studying for a doctorate in Electrical Engineering at Federal University of Ceará — Fortaleza-CE. His main research areas are computational intelligence (RNAs, fuzzy systems, metaheuristics, hybrid systems and committee) with applications in dynamic systems identification, robotics, classification problems, regression and time series modeling/forecasting.

Vinicius A. de Mesquita is currently a master’s student at Federal University of Ceará. Graduated in Electrical Engineering from Federal University of Ceará (2017), with emphasis on Electrical Machines, Control Systems and Industrial Automation.

Laurinda L. N. Reis holds a degree in Electrical Engineering from Federal University of Ceará (1979), a master’s degree in Electrical Engineering from Federal University of Paraíba (1984) and a doctorate from Federal University of Santa Catarina in 2008. Her research areas of interest are electric machines drive, controllers PID, adaptive and predictive control, advanced control techniques and nonlinear control.

Wellington A. Silva holds a degree in electrical engineering from Federal University of Ceará (2011), a master’s degree in electrical engineering from Federal University of Ceará (2013) and a doctorate in electrical engineering from Federal University of Ceará (2017). He has experience in electrical engineering, focusing on machine drive, industrial electronics, systems and electronic controls.

Josias G. Batista is currently studying for a doctorate in Electrical Engineering at Federal University of Ceará. His main research areas are electrical/mechanical, focusing on industrial maintenance, industrial automation, industrial robotics, mobile robotics, instrumentation and process control, electrical machines and drives.

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Souza, D.A., de Mesquita, V.A., Reis, L.L.N. et al. Optimal LQI and PID Synthesis for Speed Control of Switched Reluctance Motor Using Metaheuristic Techniques. Int. J. Control Autom. Syst. 19, 221–229 (2021). https://doi.org/10.1007/s12555-019-0911-x

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  • DOI: https://doi.org/10.1007/s12555-019-0911-x

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