Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables

Energies

Václav Šmídl¹  Alecksey Anuchin²  Alexandr Zharkov²  Galina L. Demidova³  Andrei Bogdanov³  Chen Hao⁴ 

[1] Department of Adaptive Systems, Institute of Information Theory and Automation, CZ-182 00 Prague, Czech Republic;Department of Electric Drives, Moscow Power Engineering Institute, 111250 Moscow, Russia;Faculty of Control Systems and Robotics, ITMO University, 197101 Saint Petersburg, Russia;School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China;

关键词: switched reluctance motor drive;    model predictive control;    continuous control set;    pulse-width modulation;    magnetization surface;    electrical drive;   

DOI  :  10.3390/en13133317

来源: DOAJ

【 摘 要 】

A problem of the switched reluctance drive is its natural torque pulsations, which are partially solved with finite control set model predictive control strategies. However, the continuous control set model predictive control, required for precise torque stabilization and predictable power converter behavior, needs sufficient computation resources, thus limiting its practical implementation. The proposed model predictive control strategy utilizes offline processing of the magnetization surface of the switched reluctance motor. This helps to obtain precalculated current references for each torque command and rotor angular position in the offline mode. In online mode, the model predictive control strategy implements the current commands using the magnetization surface for fast evaluation of the required voltage command for the power converter. The proposed strategy needs only two lookup table operations requiring very small computation time, making instant execution of the whole control system possible and thereby minimizing the control delay. The proposed solution was examined using a simulation model, which showed precise and rapid torque stabilization below rated speed.

【 授权许可】

Unknown