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Darielson A. Souza,Vinícius A. de Mesquita,Laurinda L. N. Reis,Wellington A. Silva,Josias G. Batista 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.1
At present, switched reluctance motors (SRM) become very interesting for many industrial applicationsin variable speed control. For such systems, the linear quadratic regulator with integral action (LQI) method iscommonly used when using plants in state spaces due to its robustness and easy adjustment. All methods from thelinear quadratic regulator (LQR) project provide a weighting of the Q and R matrices, which are manually adjustedto achieve the desired performance. The manual fine tuning of LQI controller parameters is a difficult task thatrequires a high level of domain knowledge. In this work, metaheuristic algorithms are explored to design the LQIcontroller 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 andR parameters in SR Motor. Simulation and experimental results on a setup prototype are shown to validate theproposed control schemes. This paper has as main contributions the weighting of the parameters of the LQI in anoptimized 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.