基于CMAC的永磁同步电机模型参考自适应方法研究

Research on model reference adaptive control method of permanent magnet synchronous motor based on CMAC

为改善永磁同步电机(PMSM)在自动导引车(AGV)复杂工况下的驱动性能,使其调速系统满足快速响应要求,且对频繁的负载扰动具有更强抵抗性及适应性,提出一种混合控制方法。该方法将小脑神经网络(CMAC)应用于永磁同步电机的模型参考自适应控制(MRAC)调速系统中,发挥小脑神经网络局部泛化、执行速度快的优势,在缩短系统响应时间的同时减小永磁同步电机的转矩脉动和转矩扰动。在此基础上,搭建永磁同步电机仿真控制系统,仿真结果验证了该方法的有效性和鲁棒性。

In order to improve actuating properties of permanent magnet synchronous motor(PMSM)under complicated working conditions of automatic guided vehicle(AGV),make its speed regulating system meet the requirements of fast response,and have stronger resistance and adaptability to frequent load disturbances,a method of hybrid control is proposed.The cerebellar model articulation controller(CMAC)is applied to the speed regulating system based on model reference adaptive control(MRAC)of the permanent magnet synchronous motor,which takes advantage of the local generalization and fast execution speed of the cerebellar model articulation controller.The system response time is shortened while the torque ripple and disturbance of permanent magnet synchronous motor are reduced.On this basis,a simulation control system of the permanent magnet synchronous motor is built.Simulation results verify that the proposed method has good effectiveness and robustness.