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

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2025-02-21 DOI:10.1109/TASE.2025.3543647
Yiyun Zhao;Zheng Wu;Fanbiao Li;Tao Yang;Chunhua Yang;Weihua Gui
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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. Note to Practitioners—The aircraft anti-skid braking system (ABS) is crucial for ensuring the safety during landing, taxiing, and other ground movements. This paper focuses on developing reliable fault isolation and fault-tolerant control strategies to maintain ABS performance and efficiency in the presence of faults. The proposed approach employs a fuzzy model to analyze the effects of various faults on system outputs, enabling precise fault isolation and estimation for simultaneous multiple faults. The reconstructed fault information is then integrated to enhance the fault-tolerant control mechanism. This ensures that braking performance can be maintained, even in the presence of multiple simultaneous faults, thereby enhancing system robustness and safety. Moreover, the proposed strategy holds potential applications in other safety-critical domains, such as rail transportation and aerospace vehicles. Future research will explore the integration of historical data to further enhance the accuracy of the fault diagnostic and accommodation units.
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基于模糊模型的飞机电制动系统故障隔离与容错控制的设计与实现
本文研究了飞机电动防滑制动系统(EABS)在执行器和传感器存在故障情况下的故障隔离、故障估计和容错控制方案。首先,利用Takagi-Sugeno (T-S)模糊模型来描述eabs固有的非线性动力学,并结合不可测的前因变量来捕捉其时变特性。其次,基于输出等效原理,提出了一种前变量不匹配的模糊观测器,实现了执行器和传感器故障的隔离和估计;所设计的观测器既保证了对特定故障的灵敏度,又增强了对干扰的鲁棒性。然后利用估计的故障信息制定容错控制策略,确保有效的故障补偿和跟踪性能。然后,考虑估计和控制单元的独立和集成框架的设计,考虑它们之间的相互作用,实现状态和故障隔离、估计、故障补偿和跟踪控制。最后,硬件在环实验结果验证了所提故障隔离与容错控制方法的有效性和实时性,验证了所提框架的实用性。致从业人员:飞机防滑制动系统(ABS)对于确保着陆、滑行和其他地面运动的安全至关重要。本文的重点是开发可靠的故障隔离和容错控制策略,以保持ABS在故障存在时的性能和效率。该方法采用模糊模型分析各种故障对系统输出的影响,能够对同时发生的多个故障进行精确的故障隔离和估计。然后对重构的故障信息进行集成,增强容错控制机制。这确保了制动性能可以保持,即使存在多个同时故障,从而提高了系统的稳健性和安全性。此外,拟议的战略在其他安全关键领域也有潜在的应用,如铁路运输和航空航天车辆。未来的研究将探索历史数据的整合,以进一步提高故障诊断和调节单元的准确性。
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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