Abstract
This study proposes a sensorless control method for permanent magnet synchronous motor (PMSM) based on a cerebellum model articulation controller (CMAC). Using high-frequency injection method to identify the magnetic field and rotational speed of the rotor. The cerebellum model neural network and PID composite controller are used to replace PI controller in speed loop. CMAC has a generalization ability from the beginning of input, suitable for a nonlinear mapping relationship. The gradient-type learning algorithm is used to train the CMAC in order to implement PID parameters online self-tuning. The simulation results show that the addition of CMAC algorithm can make the system have fast response, small overshoot and strong robustness.
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