Design and Implementation of Fuzzy-Mode-Based Fault Isolation and Fault-Tolerant Control for Aircraft Electric Braking Systems

Zhao, Yiyun; Wu, Zheng; Li, Fanbiao; Yang, Tao; Yang, Chunhua; Gui, Weihua

Abstract

This paper addresses the fault isolation, estimation, and fault-tolerant control scheme for the aircraft electric anti-skid braking system (EABS) in the presence of actuator and sensor faults. First, the inherently nonlinear dynamics of EABSs are represented by a Takagi-Sugeno (T-S) fuzzy model, incorporating immeasurable antecedent variables to capture the time-varying characteristics. Second, based on the output equivalence principle, a fuzzy observer with unmatched antecedent variables is proposed to achieve isolation and estimation of actuator and sensor faults. The designed observer can guarantee the sensitivity to specific faults while enhancing the robustness to disturbances. The estimated fault information is then utilized to develop a fault-tolerant control strategy, ensuring effective fault compensation and tracking performance. Subsequently, the design of separate and integrated frameworks for the estimation and control units is considered, taking their interaction into account to achieve state and fault isolation, estimation, fault compensation, and tracking control. Finally, hardware-in-the-loop experimental results verify the effectiveness and real-time performance of the proposed fault isolation and fault-tolerant control method, demonstrating the practical applicability of the proposed framework.

Citation

Zhao, Y., Wu, Z., Li, F., Yang, T., Yang, C., & Gui, W. (2025). Design and Implementation of Fuzzy-Mode-Based Fault Isolation and Fault-Tolerant Control for Aircraft Electric Braking Systems. IEEE Transactions on Automation Science and Engineering, 1-1. https://doi.org/10.1109/tase.2025.3543647

• Journal Article Type: Article
• Acceptance Date: Feb 11, 2025
• Publication Date: 2025
• Deposit Date: Mar 12, 2025
• Publicly Available Date: Mar 21, 2025
• Journal: IEEE Transactions on Automation Science and Engineering
• Print ISSN: 1545-5955
• Electronic ISSN: 1558-3783
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 1-1
• DOI: https://doi.org/10.1109/tase.2025.3543647
• Public URL: https://nottingham-repository.worktribe.com/output/45863773
• Publisher URL: https://ieeexplore.ieee.org/document/10898000