永磁直线同步电机(PMLSM)的控制易受系统参数摄动、负载扰动等不确定性因素影响。将神经网络控制和内模控制相结合,设计PMLSM神经网络内模控制器(NNIMC)。仿真结果表明,与常规的PI控制器相比,神经网络内模控制器具有更好的稳定性和鲁棒性。
The control to the Permanent Magnet Linear Synchronous Motor (PMLSM) is influenced by the load and other disturbances. Here the Neural Network Control and Internal Model control are combined together to design a Neural Network based Internal Mode Controller (NNIMC). Simulation results show that it is more robust and stable comparing with the conventional PI controller.