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一类基于对象正向模型的神经网络自适应控制器的设计
引用本文:张森,马胜凯,郑秀颖.一类基于对象正向模型的神经网络自适应控制器的设计[J].沈阳工程学院学报(自然科学版),2000(3).
作者姓名:张森  马胜凯  郑秀颖
作者单位:沈阳电力高等专科学校电力系(张森),沈阳电力高等专科学校学生处(马胜凯),沈阳电力高等专科学校自控系(郑秀颖)
摘    要:提出了一种基于对象正向模型的神经网络自适应控制器 ,该方法只须辨识对象的正向模型 ,将神经网络与优化方法相结合 ,对控制量进行优化迭代求解。仿真结果表明 ,该算法能精确跟踪设定输出 ,响应速度快 ,超调量小 ,无稳定误差 ,控制效果好

关 键 词:神经网络  正向模型  优化算法  自适应  未知非线性

The Design of a Class of Neural Network Adaptive Controller Based on Forward Model of Plants
Zhang Sen.The Design of a Class of Neural Network Adaptive Controller Based on Forward Model of Plants[J].Journal of Shenyang Institute of Engineering:natural Science,2000(3).
Authors:Zhang Sen
Abstract:For unknown nonlinear systems,a new adaptive controller based on neural network is proposed.It only needs the forward model of the plant and combines neural network with optimum method to solve the control law.It makes the output of plants follow the desired output very well.It can follow desired output presicely and have small overshoot.Its response is faster and has no steady error.The simulation results have verified the effectiveness of these algorithms.
Keywords:neural networks  forward model  optimum method  adaptive  unknown nonlinear
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