Design of search space for improving the steady current control performance of PMSM current control system based on model predictive control

Abstract

This paper proposes a method to design the search space of Model Predictive Control (MPC) for improving the steady current control performance of Permanent Magnet Synchronous Motor (PMSM) current control system. A current control system based on MPC predicts the future current behaviors for considerable input voltage and determines the optimum input voltage by evaluating these behaviors. However, the basic MPC has inferior steady current control performance depending on the operating points. This is because the search space of basic MPC represented by voltage vectors is not suitable appropriate for PMSM current control. To overcome this problem, we consider difference of search space of basic MPC and current vector control with a modulator such as Pulse Width Modulation (PWM) or Space Vector Modulation (SVM) and clarify the necessary search space for improving the steady current control performance. Then, we propose a design method for the search space, and through experimentation, we show that proposed design method can improve the steady current control performance.

Vector control of permanent magnet synchronous motor drive system based on new sliding mode control

“…The performance of the controller depends heavily on the control parameters of the speed loop. Therefore, upgrading and transforming some control systems is urgent [6][7][8][9][10][11]. In recent years, modern control theories such as fuzzy control, model predictive control, auto disturbance rejection control (ADRC), sliding mode control (SMC), and others have been applied to PMSM control [12][13][14][15].…”