摘要
In this paper, an improved optimal sliding mode control strategy is proposed for multi-motor driving servo system. Some states of multi-motor drive system are not measurable and there exists unknown nonlinearity. To solve this problem, the disturbance observer and extended state observer are both applied to estimate the unknown states and nonlinearity. Based on optimal control theory, the optimal sliding surface is selected to guarantee the optimal dynamic performance of the sliding mode of the system. The effectiveness of designed control methods is illustrated by simulation results.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020 |
| 编辑 | Mingxuan Sun, Huaguang Zhang |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 1209-1213 |
| 页数 | 5 |
| ISBN（电子版） | 9781728159225 |
| DOI | |
| 出版状态 | 已出版 - 20 11月 2020 |
| 活动 | 9th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2020 - Liuzhou, 中国 期限: 20 11月 2020 → 22 11月 2020 |
出版系列
| 姓名 | Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020 |
|---|
会议
| 会议 | 9th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2020 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Liuzhou |
| 时期 | 20/11/20 → 22/11/20 |
指纹
探究 'Observer-based Optimal Adaptive Control for Multi-motor Driving Servo System' 的科研主题。它们共同构成独一无二的指纹。引用此
Hu, S., & Ren, X. (2020). Observer-based Optimal Adaptive Control for Multi-motor Driving Servo System. 在 M. Sun, & H. Zhang (编辑), Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020 (页码 1209-1213). 文章 9275157 (Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DDCLS49620.2020.9275157