Fault Estimation and Tolerant Control for Vehicle Lateral Dynamics

Naoufal El Youssfi, M. Oudghiri
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引用次数: 1

Abstract

This paper presents a Fault Tolerant Control (FTC) strategy for vehicle lateral dynamics with roll effect described by Takagi-Sugeno (T-S) fuzzy model to approximate the vehicle lateral dynamics with consideration of the roll motion. The integrated approach here concerns the actuator and sensor faults. This study requires the knowledge of the system parameters and the occurring faults. For that, a Proportional-Integral Observer (PIO) is adapted to estimate system states and faults. The proposed control makes it possible to preserve the stability of the vehicle even in the presence of these faults. The observer and controller designs are based on the Lyapunov approach formulated in Linear Matrix Inequalities (LMI). The simulation results clearly show a robustness of the proposed observer and a rigorous stability of the proposed controller strategy to maintain a vehicle’s stability.
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车辆横向动力学故障估计与容错控制
本文提出了一种基于Takagi-Sugeno (T-S)模糊模型的车辆横向动力学容错控制策略,以逼近考虑侧倾运动的车辆横向动力学。这里的综合方法涉及执行器和传感器故障。这项研究需要了解系统参数和发生的故障。为此,采用比例积分观测器(PIO)来估计系统状态和故障。所提出的控制使得即使在存在这些故障的情况下也能保持车辆的稳定性。观测器和控制器的设计基于线性矩阵不等式(LMI)中的李雅普诺夫方法。仿真结果清楚地表明,所提出的观测器具有鲁棒性,所提出的控制器策略具有严格的稳定性,以保持车辆的稳定性。
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