Double-Layer model predictive control combined with funnel zone control
Sun HJ(孙浩杰)1,4; Liu JB(刘建帮)1,4; Wang JY(王景杨)2; Yang ZJ(杨志家)2; Zou T(邹涛)3
2021
会议日期November 8-11, 2021
会议地点Shenyang, China
关键词Double-layer model predictive control Funnel control Robustness Economic performance
页码1-6
英文摘要In order to solve the problem of the high sensitivity of conventional double-layer model predictive control (DLMPC) algorithm to the process white noise and disturbance, we proposed an improved strategy integrating the tunnel control, which sacrifices a small part of the economic performance for a more smooth and stable control effect. By selecting an appropriate robust factor, an allowable economic performance zone is determined. The tunnel control strategy is implemented by selecting an appropriate weighting matrix for the output error in the control cost function. When the economic performance index (EPI) of output prediction is inside its zone, the corresponding weight is zeroed. When the EPI of prediction lies outside the performance zone, the error weight is made equal to a specified value and the distance between the output prediction and the ideal steady-state set-point is minimized. Finally, the feasibility and effectiveness of the proposed algorithm are verified by simulating based on the Wood-Berry model.
产权排序1
会议录2021 3rd International Conference on Industrial Artificial Intelligence (IAI)
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-6654-3517-8
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/29972]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Sun HJ(孙浩杰)
作者单位1.University of Chinese Academy of Sciences, Beijing, China
2.Key Laboratory of Networked Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
3.School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, China
4.Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China
推荐引用方式
GB/T 7714
Sun HJ,Liu JB,Wang JY,et al. Double-Layer model predictive control combined with funnel zone control[C]. 见:. Shenyang, China. November 8-11, 2021.
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