摘  要：介绍一种基于FPGA的嵌入式处理器NiosII软核的永磁同步电动机交流伺服系统。针对伺服驱动系统高速度、高精度的要求，传统控制方法很难对其实施有效控制。介绍一种自适应控制策略。控制器利用径向基神经网络（RBFNN）调节，实现了系统的自适应控制。RBFNN的结构和初始参数通过混合递阶遗传算法离线训练获得。实验结果证明，控制系统具有较高的控制精度和较好的稳定性。
关键词：交流伺服系统；混合递阶遗传算法；RBF神经网络；自适应控制；实验

Abstract: Introduced the permanent magnet synchronous motor AC servo system based on NiosII soft processor.Aiming at the control problem of the high-speed,ous high-pricision and high-effective motion control system,this paper introduced a permanent magnet synchronous motor adaptive control strategy.Radial basis function neural network(RBFNN)controller parameters are adjusted by the use of hybrid hierarchical genetic algorithm.Experinent results prove that the control system has high control precision and good stability.
Key Words: AC servo system;Hybrid hierarchical genetic algorithm;RBFneural network;Adaptive control;Experiment