A novel data-driven input shaping method using residual impulse vector via unscented Kalman filter
文献类型：期刊论文
| 作者 | Yang, Weiyi5; Li, Yuqi1; Shang, Mingsheng5; Li, Shuai3,4; Wen, Shiping2 |
| 刊名 | KNOWLEDGE-BASED SYSTEMS
 |
| 出版日期 | 2025-11-04 |
| 卷号 | 329页码:10 |
| 关键词 | Input shaping System parameter identification Modeling error compensation Unscented Kalman filter Data driven vibration control |
| ISSN号 | 0950-7051 |
| DOI | 10.1016/j.knosys.2025.114385 |
| 英文摘要 | Driven by escalating demands for precision and speed in modern industrial applications, residual vibrations in flexible structures and underactuated systems have emerged as a critical technical challenge, particularly during high-speed emergency braking scenarios. Input shaping has proven to be an effective technique for vibration control. However, existing input shapers commonly encounter challenges with time delay and inaccurate parameters, leading to suboptimal control performance. To address these critical issues, this paper proposes an Unscented Kalman filter-based Residual negative equal-magnitude Shaping (URS) model with two-fold ideas: a) reducing the time delay and compensating the modeling error via the consideration of negative and residual impulse vector; and b) identifying system parameters using a data-driven unscented Kalman filter to enhance control effectiveness. To validate its performance, four experimental datasets from laboratory systems have been established and publicly released. Empirical studies demonstrate that the proposed URS model has achieved a significant vibration suppression effect over several state-of-the-art methods. |
| 资助项目 | National Natural Science Foundation of China[62272078] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001583005000002 |
| 出版者 | ELSEVIER |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/41642]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Wen, Shiping |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 2.Univ Technol, Australian AI Inst, Fac Engn & Informat Technol, Ultimo, Australia 3.VTT Technol Res Ctr Finland, Oulu 90570, Finland 4.Univ Oulu, Fac Informat Technol & Elect Engn, Oulu 90570, Finland 5.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Weiyi,Li, Yuqi,Shang, Mingsheng,et al. A novel data-driven input shaping method using residual impulse vector via unscented Kalman filter[J]. KNOWLEDGE-BASED SYSTEMS,2025,329:10. |
| APA | Yang, Weiyi,Li, Yuqi,Shang, Mingsheng,Li, Shuai,&Wen, Shiping.(2025).A novel data-driven input shaping method using residual impulse vector via unscented Kalman filter.KNOWLEDGE-BASED SYSTEMS,329,10. |
| MLA | Yang, Weiyi,et al."A novel data-driven input shaping method using residual impulse vector via unscented Kalman filter".KNOWLEDGE-BASED SYSTEMS 329(2025):10. |
入库方式： OAI收割
来源：计算技术研究所
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