基于Perceptron的非线性滑模控制

PERCEPTRON BASED NONLINEAR SLIDING MODE CONTROL

利用Ｐｅｒｃｅｐｔｒｏｎ的两类模式分类特性对非线性滑动模态方程的Ｌｙａｐｕｎｏｖ函数进行训练，以求得非线性系统的切换函数，并进行滑模控制器设计，为非线性滑模控制系统的综合设计提供了一条新的途径，并应用于车削系统中．

In this paper, the Lyapunov function of the nonlinear sliding mode is trained by the learning algorithm of the perceptron which has the characteristics of the linear separable classification. The switching function of the nonlinear system is obtained by this Lyapunov function and the sliding mode controller is designed also by the perceptron constructed with this switching matrix. A new systematic procedures of the nonlinear system is developed by this perceptron based nonlinear sliding mode control. The simulation of the turning system using this control strategy shows that this control strategy is much efficiency.