Fuzzy logic control of the fault-tolerant PMSM servo system based on MRAS observer

In order to make the Permanent Magnet Synchronous Motor (PMSM) propulsion system operate normally when its position sensor failure occurs, the Model Reference Adaptive System (MRAS) observer estimation algorithm is put forward to estimate the rotor speed and the rotor angle thus enhancing the fault-tolerant capability of the whole propulsion system. However, under the PMSM servo control system which is based on SVPWM control strategy, the traditional PI controller has the disadvantages of weak robustness and poor anti-interference ability. Therefore, the Fuzzy Logic Control (FLC) is proposed to improve the control effect and enhance the robustness of the system. Finally, a simulation model based on the complete system combining the FLC and the MRAS observer is established in the Matlab/Simulink environment to testify the proposed strategy. Simulation results show that the proposed strategy can not only improve the dynamic performance and anti-interference ability of the PMSM control system greatly, but also estimate the rotor speed and angle effectively when the position sensor fails, thus the fault-tolerant capability of the whole propulsion system can be enhanced.