Permanent Magnet Synchronous Motor Torque Control Based on Fuzzy Adaptive Sliding Mode Algorithm

To solve the problem of the high flux and torque ripple in the direct torque control (DTC) system of permanent magnet synchronous motor (PMSM), this paper proposes a fuzzy adaptive sliding mode control (FASMC) method. Based on the robustness and strong anti-disturbance characteristics of sliding mode control (SMC), combined with the advantages of adaptive control to suppress the system parameter uncertainty, fuzzy control theory is adopted to reduce the chattering of sliding mode. Firstly, establish a PMSM mathematical model with uncertainties such as parameter variation and external disturbances. Then design a sliding mode controller to suppress torque and flux ripple. At the same time, for the chattering caused by switching control in SMC, fuzzy control is introduced and combined with an adaptive strategy to output sliding mode gains to solve the problem of parameters uncertainty. The stability of the system is proved by the Lyapunov stability theory. The simulation results show that the proposed FASMC is obviously superior in fast response and anti-disturbance performance compared with traditional DTC, the chattering and the influence of switching control are effectively reduced. This method can suppress disturbance ripple under load and improve the robustness and anti-disturbance of the system.