Vector Control of Permanent Magnet Synchronous Motor Based on New MRAS

Model reference adaptation system(MRAS) is a relatively good-performance speed identification method for permanent magnet synchronous motor, but the accuracy of the reference model's parameters will directly affect the speed identification results. To solve this problem, this paper proposes a new model reference adaptation method. Based on Popov's superstability theory, a new adaptive law is designed to reduce the influence of reference model parameters on speed identification. Finally, the method is applied to vector control system for permanent magnet synchronous motors. The effectiveness of the improved MRAS algorithm is verified through simulations and experiments. The results show that the method proposed in this paper can accurately identify the motor speed and has strong robustness.