Online-learning control with weakened saturation response to attitude tracking: A variable learning intensity approach
- Authors
- Zhang, Chengxi; Ahn, Choon Ki; Wu, Jin; He, Wei
- Issue Date
- 10월-2021
- Publisher
- ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
- Keywords
- Attitude tracking control; Online-learning control; Variable learning intensity
- Citation
- AEROSPACE SCIENCE AND TECHNOLOGY, v.117
- Indexed
- SCIE
SCOPUS
- Journal Title
- AEROSPACE SCIENCE AND TECHNOLOGY
- Volume
- 117
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/136238
- DOI
- 10.1016/j.ast.2021.106981
- ISSN
- 1270-9638
- Abstract
- This brief investigates the problem of attitude tracking control using a variable learning intensity (VLI) online-learning control (OLC) scheme. The unique specialty of the proposed VLI-OLC scheme is that it achieves control performance enhancement via learning the previous control information online. The implementation is performed by a simple algebraic equation, which achieves decent control robustness while avoiding a complex control design and saving computational resources. The OLC's saturation response caused by the extensive system error during execution is noticeably weakened by introducing a VLI approach. Compatibility with previous algorithms can be guaranteed. The application example shows that control performance and saturation reduction are guaranteed concurrently. (C) 2021 Elsevier Masson SAS. All rights reserved.
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Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
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