中文摘要：

提出一种基于改进布谷鸟搜索算法的永磁同步电机参数辨识方法。针对布谷鸟搜索算法的不足，采用基于云隶属度的模糊推理调整巢主鸟发现外来鸟蛋的概率；采用自适应变步长的方法调整L6vy飞行步长。改进后的算法通过增加种群之间的多样性以加快收敛速度，提高了局部和全局寻优能力。永磁同步电机多参数辨识结果表明，改进布谷鸟搜索算法能有效地辨识电机各参数，与未改进算法相比，验证了改进算法的有效性和优越性能。

英文摘要：

Based on improved cuckoo search algorithm, a kind of parameter identification method of permanent magnet synchronous motor is proposed. In view of the deficiency of cuckoo search algorithm, designing the fuzzy reasoning based on cloud membership to adjust the probability of an alien egg discovered by host nests and using adaptive variable step method to adjust step size of L6vy flights. The improved algorithm can accelerate the convergence speed and improve the local and global optimization ability by increasing the diversity of the population. Permanent magnet synchronous motor muhiparameter identification results show that improved cuckoo algorithm can effectively identify the motor parameters, and compared with the unmodified algorithm, the improved algorithm show the effectiveness and superior performance.