Title: Control design and sensors fault tolerant for vehicle dynamics (a selected paper from SSD'17)

Authors: Naoufal El Youssfi; Mohammed Oudghiri; Rachid El Bachtiri

Addresses: CED STI, FST, PERE Laboratory EST-USMBA, Fez, Morocco ' CED STI, FST, PERE Laboratory EST-USMBA, Fez, Morocco ' CED STI, FST, PERE Laboratory EST-USMBA, Fez, Morocco

Abstract: This paper presents a control approach based on the state feedback estimated by the observer. It also offers a method of detection and isolation of sensor defects (FDI), which is based on a bank of observers in order to apply a fault tolerant control strategy (FTC) to the lateral and roll dynamics of the vehicle represented by the fuzzy model of Takagi-Sugeno (TS). This approach makes it possible to preserve the stability of the vehicle despite the presence of sensor defects; based on the Lyapunov approach, the observer and controller designs were formulated as linear matrix inequalities (LMI); the simulation results clearly show the importance and effectiveness of the proposed strategy.

Keywords: Takagi Sugeno; TS; fuzzy model; observer bank; controller; linear matrix inequalities; LMI; fault tolerant control strategy; FTC; fault detection and identification; FDI; vehicle lateral dynamics.

DOI: 10.1504/IJDSSS.2018.090874

International Journal of Digital Signals and Smart Systems, 2018 Vol.2 No.1, pp.50 - 67

Received: 12 Jun 2017
Accepted: 05 Oct 2017
Published online: 30 Mar 2018 *

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