文献类型：会议论文

英文题名：Design of networked control systems using the fuzzy inverse model

作者：Shiwen, Tong[1]; Dianwei, Qian[2]; Xiaoyu, Yan[3]; Guang, Cheng[1]; Jianjun, Fang[4]

第一作者：佟世文

机构：[1] College of Robotics, Beijing Union University, Beijing, 100101, China; [2] School of Computer and Control Engineering, North China Electric Power University, Beijing, 102206, China; [3] Graduate School, Beijing Union University, Beijing, 100101, China; [4] College of Urban Rail Transit and Logistics, Beijing Union University, Beijing, 100101, China

第一机构：北京联合大学机器人学院

会议论文集：Proceedings of the 37th Chinese Control Conference, CCC 2018

会议日期：July 25, 2018 - July 27, 2018

会议地点：Wuhan, China

语种：英文

外文关键词：Cluster analysis - Delay control systems - Fuzzy clustering - Inverse problems - Iterative methods - Model predictive control - Time delay

摘要：This paper has proposed a novel design for networked control systems by using fuzzy inverse model. First, a fuzzy clustering model has been designed according to the fully excited input-output data of the controlled process. Then, an equivalent fuzzy singleton model is built on the basis of the fuzzy clustering model. Once the fuzzy singleton model satisfying the invertibility condition, the inverse mapping for the control action can be easily obtained. And then the sequence of the future control actions are deduced by iteration. These control actions are packed and sent from controller side to the plant side. Thus, time delays in the forward channel could be actively compensated by selecting appropriate control actions from the received control sequences in the plant side. However, the difference between the fuzzy singleton model and the actual process can bring some steady errors. Fortunately, the errors can be overcome by the internal model control strategy. Simulations demonstrate the validity of the proposed method. ? 2018 Technical Committee on Control Theory, Chinese Association of Automation.