液压伺服系统的直接自适应神经网络控制

摘要

针对液压伺服系统中的非线性和不确定特性，研究了一种基于神经网络的直接自适应控制方法。引入的神经网络模型可以通过学习从而跟踪对象的动力学特性，控制器的设计较少的依赖于对象的先验知识，控制器参数的调整是基于被控系统的测量信号，利用在线辨识的神经网络参数来实现的。仿真结果证明该系统有较好的控制效果。%A hydraulic servo system often has nonlinearity and incertit ude. Based on neural network, we developed a directly self-adaptive control meth od in this paper. The NN applied in the system can identify the dynamic characte ristic of hydraulic system. The parameter regulation of controller is inplemente d based on the measured signal of the controlled system, and using the parameter of on-line identification NN. The emulate result proves that this method has be tter control effect.