H∞-Based Selective Inversion of Nonminimum-phase Systems for Feedback Controls
文献类型：期刊论文
| 作者 | Dan Wang ; Xu Chen
|
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2020 |
| 卷号 | 7期号:3页码:702-710 |
| 关键词 | H∞ formulation model inversion nonminimum-phase zeros unstable systems |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2020.1003138 |
| 英文摘要 | Stably inverting a dynamic system model is fundamental to subsequent servo designs. Current inversion techniques have provided effective model matching for feedforward controls. However, when the inverse models are to be implemented in feedback systems, additional considerations are demanded for assuring causality, robustness, and stability under closed-loop constraints. To bridge the gap between accurate model approximations and robust feedback performances, this paper provides a new treatment of unstable zeros in inverse design. We provide first an intuitive pole-zero-map-based inverse tuning to verify the basic principle of the unstable-zero treatment. From there, for general nonminimum-phase and unstable systems, we propose an optimal inversion algorithm that can attain model accuracy at the frequency regions of interest while constraining noise amplification elsewhere to guarantee system robustness. Along the way, we also provide a modern review of model inversion techniques. The proposed algorithm is validated on motion control systems and complex high-order systems. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/42981]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Dan Wang,Xu Chen. H∞-Based Selective Inversion of Nonminimum-phase Systems for Feedback Controls[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(3):702-710. |
| APA | Dan Wang,&Xu Chen.(2020).H∞-Based Selective Inversion of Nonminimum-phase Systems for Feedback Controls.IEEE/CAA Journal of Automatica Sinica,7(3),702-710. |
| MLA | Dan Wang,et al."H∞-Based Selective Inversion of Nonminimum-phase Systems for Feedback Controls".IEEE/CAA Journal of Automatica Sinica 7.3(2020):702-710. |
入库方式： OAI收割
来源：自动化研究所
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