关键词: 永磁同步电机, 分数阶PI ^λD ^μ;, 参数整定, 粒子群算法

Abstract:

Due to the addition of two control parameters(λ and μ)based on PID controller,the fractional order PI ^λD ^μ(FOPID) controller was provided with higher control flexibility and precision. The fractional order PI ^λD ^μ controller was applied to the permanent magnet synchronous motor (PMSM) speed regulation system, which the performance indexes were effectively improved. However, due to the increase of control parameters, the difficulty of parameter tuning was also improved. A method based on improved particle swarm algorithm was studied to optimize parameters of fractional order PI ^λD ^μ controller. In order to overcome the problem that the common particle swarm algorithm is easy to be early maturing,the strategies of adaptive weight and chaotic local search were integrated. The feasibility of the method was proved by the simulation and the practical operation of the system.

Key words: permanent magnet synchronous motor(PMSM), fractional order PI ^λD ^μ;, parameter tuning, particle swarm optimization