摘要:This project proposes a combination of the Model Reference Adaptive System (MRAS) scheme
to estimate the speed information of the PMSM and the proportional integral (PI) scheme with
the particle swarm optimization (PSO) to tune the PI gains used in the speed control of the
PMSM. The adaptation scheme of the MRAS is based on the Takagi- Sugeno Fuzzy Inference
System (T-S FIS). The effectiveness of the proposed technique is proved by testing the system
with the variation of load torque and motor speed. The proposed technique clearly indicates that
the speed error can be reduced close to zero and the estimated rotor position is able to track the
actual rotor position.