【摘要】 针对永磁同步伺服系统参数摄动、非线性及不确定因素等问题,提出了一种新型模糊神经网络等效滑模控制方案。利用一维输入的径向基神经网络与等效滑模复合控制器,实现了PMSM系统的快速跟踪控制。该方案对负载扰动、系统参数变化等具有很强的自适应性和鲁棒性,并且综合了模糊控制、神经网络的优点,是一种较理想的智能控制策略。在MATLAB环境下的仿真结果表明控制器具有良好的动静态品质,并且工程实现方便,为提高PMSM伺服系统性能提供了一个有效途径。更多还原

【Abstract】 A new fuzzy neural network equivalent sliding model control scheme for synchronous servo system has been put forword,which can overcome the parameter perturbation,non-linearity and uncertainty factors etc.In this project,using a compound controller of one dimension input RBF and equivalent sliding model to realize fast tracking control of PMSM system.The controller has strong adaptability and robustness to load disturbance,parameters change and so on of the system,and synthesize the advantage of Fuzzy control and neural network,it is a kind of more ideal intelligence control strategy.The simulation results in MATLAB environment demonstrate that the controller has good quality in dynamic and static conditions,and can easily be realized in engineering.It provides a valid way to improve the PMSM servo system’ performance.更多还原