Adaptive fuzzy sensor failure compensation for active suspension systems with multiple sensor failures

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS
Yixian Fang, Rui Bai
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引用次数: 1

Abstract

This paper has studied the adaptive fuzzy fault-tolerant control (FTC) for active suspension systems via the sensor failure compensation method. In the control design, fuzzy logic systems (FLSs) are used to identify the unknown nonlinear dynamics, and the projection technique is utilized to deal with the multiple sensor failures. Combining with the backstepping technique, a novel FTC method has been developed. The proposed control method can guarantee that all the signals in the closed-loop system are all bounded, and the tracking error can converge to the neighbourhood of the origin. Finally, a simulation for the quarter active suspension system is given to verify the effectiveness of the developed control scheme.
多传感器故障主动悬架系统的自适应模糊传感器故障补偿
本文采用传感器故障补偿方法研究了主动悬架系统的自适应模糊容错控制。在控制设计中,模糊逻辑系统用于识别未知的非线性动力学,并利用投影技术处理多传感器故障。结合反推技术,提出了一种新的FTC方法。所提出的控制方法可以保证闭环系统中的所有信号都是有界的,并且跟踪误差可以收敛到原点的邻域。最后,对四分之一主动悬架系统进行了仿真,验证了所提控制方案的有效性。
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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