Research on PMSM Control Algorithm Based on Temperature Effect

Abstract

During the operation of permanent magnet synchronous motors (PMSM), temperature fluctuations lead to significant changes in motor parameters (resistance, inductance, flux linkage), and conventional model-based control algorithms cannot adapt to the effects of temperature changes on motor parameters. As a result, the control accuracy deteriorates in application conditions with large temperature variations. In view of this situation, a temperature adaptive control strategy based on fuzzy PI is proposed. Firstly, the influence of temperature on the resistance, inductance and flux in PMSM is analyzed, and the mathematical model of PMSM is established in the two-phase rotating coordinate system; The parameter adjustment rules of fuzzy PI controller are designed in detail; The temperature adaptive control model of PMSM is built in Matlab / Simulink, and the control accuracy and robustness of the temperature adaptive control algorithm based on Fuzzy PI are verified by simulation. The experimental results show that, compared with the common PI controller, the temperature adaptive controller based on fuzzy PI can improve the dynamic performance and anti-disturbance performance of the system, and reduce the influence of temperature on the PMSM control performance.