Fault-tolerant controller design of electric multiple unit system for braking based on controlled Lagrangian method

Yuan Wang; Maoqing Li; Yiqing Wang

doi:10.1117/12.3025689

1 April 2024 Fault-tolerant controller design of electric multiple unit system for braking based on controlled Lagrangian method

Yuan Wang, Maoqing Li, Yiqing Wang

Author Affiliations +

Proceedings Volume 13081, Third International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023); 1308102 (2024) https://doi.org/10.1117/12.3025689
Event: 2023 3rd International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023), 2023, Tianjin, China

Abstract

A control strategy based on Controlled Lagrangians (CL) is designed for the Electric Multiple Unit (EMU) with a power unit’s actuator complete failure to realize fault-tolerant control in this acticle. Firstly, the multi-particle EMU model is established, which is nonlinear, coupled, and underactuated. Then, the desired controlled energy and generalized forces are used to construct an expected controlled system. By equating the original system with the controlled system, the matching condition and controller structure are confirmed. A smooth nonlinear feedback control law is obtained from simplifying and solving the partial differential equations and algebraic equations of the matching conditions. The control law ensures simultaneous global asymptotic stability of position and velocity, and precision stopping of each power unit. Finally, the controlled energy is selected as the Lyapunov function, and the LaSalle invariance principle is used to prove the asymptotic stability. Simulations demonstrate the effectiveness of the theoretical results and that the controller has a large convergence range.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Yuan Wang, Maoqing Li, and Yiqing Wang "Fault-tolerant controller design of electric multiple unit system for braking based on controlled Lagrangian method", Proc. SPIE 13081, Third International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023), 1308102 (1 April 2024); https://doi.org/10.1117/12.3025689

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