一种非线性系统的神经网络自适应控制

Adaptive control of a kind of nonlinear system using neural networks

带有死区非线性的系统广泛存在于各个领域,特别是机械领域中.该文采用人工神经网络实现的自适应控制器对这种非线性系统进行了控制研究,MATLAB仿真结果表明,这种自适应控制器能对该类非线性系统能实行有效的控制.采用这种自适应算法由于不再需要调整参数,将使控制系统的整定变得简单.

Nonlinear system with dead zone exists in almost all kinds of fields, especially in those of mechanism. In this paper, an adaptive controller realized by neural networks is introduced and the results simulated by MATLAB show that the adaptive controller can commit effective control for the nonlinear system. By using this controller, the procedure of adjusting of controller＇ s parameters is not needed, thus making it easier to set the control system.