Algorithms for U-model-based dynamic inversion (UM-dynamic inversion) for continuous time control systems

Li, Ruobing; Zhu, Quanmin; Kiely, Janice; Zhang, Weicun

Abstract

To setup a universal proper user toolbox from previous individual research publications, this study generalises the algorithms for the U-model dynamic inversion based on the realisation of U-model from polynomial and state-space described continuous-time (CT) systems and presents the corresponding U-control system design in a systematic procedure. Then, it selects four CT dynamic plants plus a wind energy conversion system for simulation case studies in Matlab/Simulink to test/demonstrate the proposed U-model-based design procedure and dynamic inversion algorithms. This work can be treated as a U-control system design user manual in some sense.

Citation

Li, R., Zhu, Q., Kiely, J., & Zhang, W. (2020). Algorithms for U-model-based dynamic inversion (UM-dynamic inversion) for continuous time control systems. Complexity, 2020, https://doi.org/10.1155/2020/3640210

• Journal Article Type: Article
• Acceptance Date: Jun 2, 2020
• Online Publication Date: Jul 16, 2020
• Publication Date: Jul 16, 2020
• Deposit Date: Apr 25, 2023
• Publicly Available Date: Apr 25, 2023
• Journal: Complexity
• Print ISSN: 1076-2787
• Electronic ISSN: 1099-0526
• Publisher: Hindawi
• Peer Reviewed: Peer Reviewed
• Volume: 2020
• Series Title: Learning and Adaptation for Optimization and Control of Complex Renewable Energy Systems
• DOI: https://doi.org/10.1155/2020/3640210
• Public URL: https://uwe-repository.worktribe.com/output/10708657
• Publisher URL: https://www.hindawi.com/journals/complexity/2020/3640210/
• Additional Information: An Erratum for this article has been published, which can be found here: https://www.hindawi.com/journals/complexity/2020/3871595/