U-Model and U-Control methodology for nonlinear dynamic systems

Zhang, Weicun; Zhu, Quanmin; Mobayen, Saleh; Yan, Hao; Qiu, Ji; Narayan, Pritesh

Abstract

This study presents the fundamental concepts and technical details of a U-model-based control (U-control for short) system design framework, including U-model realisation from classic model sets, control system design procedures, and simulated showcase examples. Consequently, the framework provides readers with clear understandings and practical skills for further research expansion and applications. In contrast to the classic model-based design and model-free design methodologies, this model-independent design takes two parallel formations: (1) it designs an invariant virtual controller with a specified closed-loop transfer function in a feedback control loop and (2) it determines the real controller output by resolving the inverse of the plant U-model. It should be noted that (1) this U-control provides a universal control system design platform for many existing linear/nonlinear and polynomial/state-space models and (2) it complements many existing design approaches. Simulation studies are used as examples to demonstrate the analytically developed formulations and guideline for potential applications.

Citation

Zhang, W., Zhu, Q., Mobayen, S., Yan, H., Qiu, J., & Narayan, P. (2021). U-Model and U-Control methodology for nonlinear dynamic systems. Complexity, 2020(Special issue: Learning and Adaptation for Optimization and Control of Complex Renewable Energy Systems), 1-13. https://doi.org/10.1155/2020/1050254

• Journal Article Type: Article
• Acceptance Date: Jun 9, 2020
• Online Publication Date: Jun 30, 2020
• Publication Date: Jan 1, 2021
• Deposit Date: Jul 5, 2020
• Publicly Available Date: Jul 6, 2020
• Journal: Complexity
• Print ISSN: 1076-2787
• Electronic ISSN: 1099-0526
• Publisher: Hindawi
• Peer Reviewed: Peer Reviewed
• Volume: 2020
• Issue: Special issue: Learning and Adaptation for Optimization and Control of Complex Renewable Energy Systems
• Article Number: 1050254
• Pages: 1-13
• DOI: https://doi.org/10.1155/2020/1050254
• Keywords: Multidisciplinary
• Public URL: https://uwe-repository.worktribe.com/output/6180450