Two-layer structure predictive control of target tracking mode for dual time-scale system
文献类型：会议论文
| 作者 | Wang HR(王洪瑞)3,4,5,6 ; Zou T(邹涛)2; Yang ZJ(杨志家)4,5,6; Zheng HY(郑洪宇)1
|
| 出版日期 | 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 |
| 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.Institute of Intelligent Manufacturing Huanghuai University, Zhumadian, China 2.Guangzhou University, College of Mechanical and Electrical Engineering, Guangzhou, China 3.University of Chinese Academy of Sciences, Beijing, China 4.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 5.Key Laboratory of Networked Control System, Chinese Academyof 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。