Fuzzy Fault Tolerant Control Based Takagi-Sugeno Observer for Automotive Electronic Throttle Valve

计算机科学 节气门 观察员(物理) 汽车工业 控制理论(社会学) 模糊逻辑 控制(管理) 容错 汽车工程 控制工程 人工智能 分布式计算 工程类 航空航天工程 物理 量子力学
作者
Hajer Gharsallaoui,Wafa Gritli,Mohamed Benrejeb,Pierre Borne
出处
期刊:Studies in Informatics and Control [ICI Bucharest]
卷期号:33 (1): 5-14
标识
DOI:10.24846/v33i1y202401
摘要

In this paper, a novel Fuzzy Fault Tolerant Control (FFTC) approach for an Electronic Throttle Valve (ETV), based on Takagi-Sugeno (T-S) fuzzy models, is proposed in order to regulate the throttle valve opening angle position.Indeed, automotive ETV systems have several benefits in terms of enhancing fuel economy and thus reducing carbon dioxide emissions.However, an ETV control system would face challenges in the context of control performance as it features various non-smooth nonlinearities such as friction, nonlinear springs, gear backlashes and external perturbations.Consequently, the proposed FFTC approach involves a PDC-based control law combined with a T-S fuzzy observer, with the purpose of estimating system states and of detecting actuator faults.The observer and controller gains are obtained by solving Linear Matrix Inequalities (LMIs) derived from Lyapunov's stability theory.The obtained simulation results for an ETV control process are included in order to show the effectiveness of the proposed FFTC approach in terms of reference trajectory tracking even in the presence of actuator faults.
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