信息与控制2018，Vol.47Issue(6)：687-693,7.DOI:10.13976/j.cnki.xk.2018.7458
基于干扰观测器的近似最优解耦控制方法
Approximate Optimal Decoupling Control Method Based on Disturbance Observer
摘要
Abstract
We propose an approximate optimal decoupling control method based on a neural network disturbance observer for a class of linear systems with strong couplings and nonlinear immeasurable disturbances. First, we use a recurrent neural network to observe the disturbance. Then, we design a feed-forward decoupling controller to convert the strong coupling system into multiple single-variable systems. Finally, based on the neural network disturbance observer, we design an approximate optimal tracking controller. Numerical simulation experiments, using a ball mill as a simulation object, verify that this method can eliminate the effects of coupling and immeasurable interference between loops and achieve an ideal control effect.关键词
解耦/近似最优跟踪控制/递归神经网络/非线性干扰Key words
decoupling/approximate optimal tracking control/recurrent neural network/nonlinear disturbance分类
信息技术与安全科学引用本文复制引用
洪成文,富月..基于干扰观测器的近似最优解耦控制方法[J].信息与控制,2018,47(6):687-693,7.基金项目
国家自然科学基金资助项目(61573090, 61134006) （61573090, 61134006）
辽宁省教育厅重点实验室基础研究资助项目(LZ2015030) （LZ2015030）
