Parameter identification of PMSM based on improved cuckoo algorithm
Aiming at the problems of insufficient accuracy and slow speed of parameter identification in permanent magnet synchronous motors(PMSM),an improved cuckoo algorithm is proposed to realize the parameter identification of PMSM.Firstly,the Tent mapping is used to initialize the population;secondly,the dynamic discovery probability is used to adjust the probability that the cuckoo's egg is discovered;finally,the dimension-by-dimension inverse learning strategy is introduced to enhance the local and global optimization ability of the algorithm,and at the same time,the convergence speed is accelerated.Simulation analysis shows that the improved cuckoo algorithm can identify the motor parameters of the PMSM more effectively compared with the original algorithm.
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