Passivity-based adaptive complementary PI sliding-mode speed controller for synchronous reluctance motor using predictive current control
作者： Cheng-Kai Lin , Li-Chen Fu , Tian-Hua Liu , Chieh-Fu Hsiao
关键词: Inverter 、 Control engineering 、 Vector control 、 Control theory 、 Electronic speed control 、 Stator 、 Model predictive control 、 Passivity 、 Machine control 、 Adaptive control 、 Engineering
摘要: In this study we propose a predictive current control (PCC) and passivity-based adaptive complementary PI sliding-mode (PBACPISM) controller to the speed of synchronous reluctance motor (SynRM) drive system. PCC future stator currents can be predicted using proposed extended back-EMF estimation method for seven possible voltage vectors generated by inverter. According cost function, vector that minimizes function obtained at present sampling time directly signals inverter next time. addition, improve tracking performance SynRM system, PBACPISM is proposed. The stability whole system proved passivity theory Barbalat's lemma. Simulation results show satisfactory in both validate method.
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