Robust control design for Electric Helicopter Tail Deceleration system: Fuzzy view and Stackelberg game theory-based optimization

• Published in: ISA transactions Vol. 145; pp. 51 - 62
• Main Authors: Zhu, Yinfei, Zhao, Han
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.02.2024
• Subjects: Electric Helicopter Tail Deceleration system; Optimal decision; Performance indexes; Robust controller; Stackelberg game theory; Robust controller; Optimal decision; Stackelberg game theory; Performance indexes; Electric Helicopter Tail Deceleration system
• ISSN: 0019-0578; 1879-2022; 1879-2022
• DOI: 10.1016/j.isatra.2023.12.012

A novel robust controller is designed for Electric Helicopter Tail Deceleration (EHTD) system which is subject to uncertainties and nonlinearity. Then, the optimal parameters of the control are solved based on Stackelberg game theory. The fuzzy set theory is used to describe the uncertainty bound, which is distinguished from probability theory or fuzzy logic theory. Based on two-player (leader and follower) Stackelberg game, two performance indexes are proposed for novel robust controller which contains two optimal parameters. The system performance and control cost are included in performance indexes. Then, based on Stackelberg strategy, the optimal decisions are made by leader and follower, which can minimize the performance indexes. Therefore, by numerical simulation, the EHTD system is applied to prove that the design of robust control and optimal parameters based Stackelberg strategy are effective. •A novel robust controller is designed for Electric Helicopter Tail Deceleration system which is subject to uncertainties.•The novel robust controller contains two adjustable control parameters.•Based on Stackelberg game theory, the optimal decision can be chosen by players (leader and follower).