Sensor fault tolerant control strategy for autonomous vehicle driving

M. Boukhari, A. Chaibet, M. Boukhnifer, S. Glaser
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引用次数: 8

Abstract

This paper is dedicated to the sensor fault tolerant control scheme for autonomous vehicle driving. The nonlinear lateral vehicle model is described by the fuzzy Takagi-Sugeno (TS) model. The contributions aspects of this work consist of the development of a descriptor observer to estimate the state system and faults by ensuring robustness against external disturbances. The gains of this observer are obtained by solving the LMI constraints, which are developed using a L2 gain technique and H∞ criterion. Indeed, the proposed fault tolerant control strategy is justified by its ability to maintain an acceptable performance in the presence of the sensor failure. Simulation results are addressed to demonstrate the capability of this fault tolerant control to counteract the effect of the sensor fault.
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自动驾驶汽车传感器容错控制策略
本文主要研究自动驾驶汽车传感器容错控制方案。非线性横向车辆模型采用模糊Takagi-Sugeno (TS)模型进行描述。这项工作的贡献方面包括开发一个描述符观测器,通过确保对外部干扰的鲁棒性来估计状态系统和故障。该观测器的增益通过求解LMI约束得到,该约束采用L2增益技术和H∞准则。事实上,所提出的容错控制策略是合理的,因为它能够在传感器故障的情况下保持可接受的性能。仿真结果证明了这种容错控制能够有效地抵消传感器故障的影响。
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