关键词: 永磁同步电机, Logistic-Tent 映射, 多参数辨识, 模糊 PI, 改进布谷鸟算法

Abstract: In order to solve the shortcomings of PI controller relying on accurate motor parameters and the traditional PI controller with low efficiency and large steady-state error, the fuzzy PI controller was used to replace the traditional PI controller in the vector control system of PMSM, and an enhanced cuckoo algorithm was proposed to realize the multiparameter precise identification of motors. The random attenuation inertia weights were constructed by Logistic-Tent mapping, the Gaussian distribution was used to improve the growth factor and exponential function to construct the dynamic discovery probability, and finally the diversity maintenance strategy was adopted, which improves the slow convergence speed of the standard cuckoo algorithm and the problem of falling into the local optimal solution in the later stage, so that the enhanced cuckoo algorithm enable more accurately identify the multi-parameters of the motors. The improved cuckoo algorithm only needs to collect the speed of the motor under the control of fuzzy PI, and the stator voltage and current signals could accurately identify the motor parameters. The simulation experiments indicate that the enhanced cuckoo algorithm has higher accuracy and faster convergence speed for multi-parameter identification, which is of great significance for improving motor performance.

Key words:  , permanent magnet synchronous motor ( PMSM), Logistic-Tent mapping, multi-parameter identification, fuzzy PI, improved cuckoo search( ICS)