Two-layer structure predictive control of target tracking mode for dual time-scale system

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	Two-layer structure predictive control of target tracking mode for dual time-scale system
	Wang HR(王洪瑞)1,2,5,6; Zou T(邹涛)3; Yang ZJ(杨志家)1,5,6; Zheng HY(郑洪宇)4
	2020
会议日期	November 6-8, 2022
会议地点	Shanghai, China
关键词	Dual time-scale Analogy integral variable Two-layer structure Predictive control
页码	4271-4276
英文摘要	In the dual time-scale system, the time for the fast and slow model to reach steady-state values is inconsistent. Based on the point model strategy of integral variables, this paper compares and analyzes the slow model variables with the integral variables and designs a two-layer structure predictive controller for the dual time-scale system under the model truncation. The steady-state optimization layer uses the step response characteristics of slow model variables to derive the multi-step controlled variable prediction values after the truncation point. Based on the improved displacement matrix, the error correction coefficient is modified by introducing an error compensation factor in the dynamic control layer to reduce the accumulated error of model truncation. Under the truncated dual time-scale system model, the improved strategy proposed in the paper can not only maintain the amount of calculation of the predictive control but also solve the problem that the steady-state target calculation is not accurate enough due to model mismatch. Finally, the elfectiveness of the improvement strategy is verified by simulation comparison.
产权排序	1
会议录	Proceedings - 2020 Chinese Automation Congress, CAC 2020
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-7281-7687-1
WOS记录号	WOS:000678697004068
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/28368]
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	Zou T(邹涛)
作者单位	1.Key Laboratory of Networked Control System, Chinese Academyof Sciences, Shenyang, China 2.University of Chinese Academy of Sciences, Beijing, China 3.Guangzhou University, College of Mechanical and Electrical Engineering, Guangzhou, China 4.Institute of Intelligent Manufacturing Huanghuai University, Zhumadian, China 5.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 6.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
推荐引用方式 GB/T 7714	Wang HR,Zou T,Yang ZJ,et al. Two-layer structure predictive control of target tracking mode for dual time-scale system[C]. 见:. Shanghai, China. November 6-8, 2022.