Parameter-adaptive dead-beat predictive current control of permanent magnet synchronous motor

Abstract

Dead-beat predictive current control (DPCC) has great potential in the field of motor control due to its fast response. However, it suffers from low robustness due to its sensitivity to parameter variations. In this paper, a DPCC of permanent magnet synchronous motors (PMSM) combined with parameter adaptation is proposed to enhance the robustness of the dead-beat control under parameter misalignment. Firstly, the basic principles of dead-beat current control are introduced. Then, the influence of parameter errors on the control loop of dead-beat current control under imprecise motor parameters is analyzed. To address the issue of imprecise motor parameters, a predictive current control method combined with a parameter-adaptive algorithm is proposed. The motor parameters are identified online, and the parameters of the predictive current controller are modified in real-time to achieve parameter correction. Finally, comparative simulations and performance evaluations are conducted to validate the effectiveness of the proposed method. The results show that the robustness of the current control system is significantly improved, resulting in better control performance when applying the method proposed in this paper.

Keywords

• permanent magnet synchronous machine (pmsm)
• dead-beat control
• current control
• error compensation
• parameter-adaptive
• parameter identification