Decoupling control for nonlinear coupling systems based on CMAC & PID

Yi Tang, Runhua Wang
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引用次数: 1

Abstract

In order to actualize decoupling control for nonlinear multivariate coupling system, A multivariate self-adapting decoupling control method based on CMAC and PID was proposed in this studies, and its algorithm was designed in detail. The control strategy utilizes PID controller and CMAC to combine a composite controller. Outputs of multiple same composite controllers are mapped by MIMO linear neural networks into final control actions. Because of characteristics of neural networks, multivariate control system can approach reference model, and the decoupling control aim was achieved. The simulation results show that the strategy realized effectively decoupling control for multivariate coupling system, and is good at anti-disturbance ability and strong in robustness. So the control strategy can realize the decoupling control of the multivariate nonlinear coupling system.
基于CMAC和PID的非线性耦合系统解耦控制
为了实现非线性多变量耦合系统的解耦控制,本文提出了一种基于CMAC和PID的多变量自适应解耦控制方法,并对其算法进行了详细设计。该控制策略采用PID控制器和CMAC控制器组成复合控制器。采用MIMO线性神经网络将多个相同组合控制器的输出映射为最终控制动作。由于神经网络的特性,多变量控制系统可以接近参考模型,达到解耦控制的目的。仿真结果表明,该策略对多变量耦合系统实现了有效的解耦控制,具有良好的抗干扰能力和较强的鲁棒性。因此,该控制策略可以实现多变量非线性耦合系统的解耦控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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