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

Youssfi, Naoufal El; Oudghiri, Mohammed; Bachtiri, Rachid El

doi:10.1504/ijdsss.2018.090874

Cited by 5 publications

(6 citation statements)

References 0 publications

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“…The pitch dynamics of the vehicle is ignored or even neglected. The nonlinear model of the automotive vehicle lateral dynamics considering the roll angle to be small is given in [12] by the following simplified differential equations:…”

Section: Description Of the Lateral Dynamics Of The Automotive Vehiclementioning

confidence: 99%

“…A major advantage is that it provides an efficient design strategy for representing a nonlinear system. As a result, many researchers have become interested in the FTC approach for T-S fuzzy systems (see [10][11][12]).…”

Section: Introductionmentioning

confidence: 99%

“…In this regard, great efforts have been made to improve the stability of the vehicle lateral dynamics to enhance the safety and comfort of the passengers in critical driving conditions. Since the vehicle is a very complex system, the challenge is to achieve more precise control designs and to increase the effectiveness of a vehicle dynamic control system, which necessitates an accurate knowledge of vehicle parameters, in particular, sideslip, roll, and yaw angles [12,13].…”

Section: Introductionmentioning

confidence: 99%

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T-S Fuzzy Observers to Design Actuator Fault-Tolerant Control for Automotive Vehicle Lateral Dynamics

Youssfi¹,

Bachtiri²

2021

Smart Cities - Their Framework and Applications

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This article presents a fault-tolerant control (FTC) procedure for the automotive vehicle lateral dynamics (AVLD) described by the Takagi-Sugeno (T-S) fuzzy models. This approach focuses on actuator faults, which requires knowledge of the system parameters and the faults that are occurring. For this reason, T-S fuzzy observers are suitable for simultaneously estimating system states and actuator faults. The proposed control makes it possible to maintain vehicle stability even in the presence of faults. The design of fuzzy observers and fuzzy controllers is mainly based on the one-step method of Lyapunov, which is provided in the form of linear matrix inequalities (LMIs). The simulation results clearly illustrate the effectiveness of the applied controller strategy to maintain vehicle stability.

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Section: Description Of the Lateral Dynamics Of The Automotive Vehiclementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

T-S Fuzzy Observers to Design Actuator Fault-Tolerant Control for Automotive Vehicle Lateral Dynamics

Youssfi¹,

Bachtiri²

2021

Smart Cities - Their Framework and Applications

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“…1,2 For this purpose, over the last years, several researchers have focused on developing new methods of diagnosis, such as fault estimation (FE) and detection and isolation of the fault (FDI), as well as investigating the problem of fault-tolerant control (FTC). These methods are directed to respond to the high requirements of safety, liability, and durability of systems; we mention these results [3][4][5][6][7][8][9] and references therein.…”

Section: Introductionmentioning

confidence: 99%

T‐S fuzzy observer and actuator fault‐tolerant controller designs for descriptor systems

El Youssfi,

Zoulagh,

El Aiss

et al. 2023

Adaptive Control & Signal

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SummaryThis work focuses on designing an observer to measure states and actuator faults as well as fault‐tolerant control (FTC) for fuzzy Takagi–Sugeno (T–S) singular systems. An enhanced system is built by creating a new vector from the system state and the actuator faults. The first task is simultaneously to estimate system states and actuator faults with an adaptive observer. Then, in order to get a stabilized faulty singular system, we conceive an observer based on FTC. Using Lyapunov's approach, a linear matrix inequalities (LMIs) feasibility problem is formulated to provide the controller and the observer gains. Compared with previous studies, the proposed method significantly simplifies the design and simultaneously provides the controller and the observer gains in one step. Finally, three examples are given to demonstrate the effectiveness of the proposed control.

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“…Thus, allowing for the Electronic Control Units (ECU) to share the information that is delivered by different sensors. Several researches in the literature have dealt with the vehicle Fault Tolerant Control (FTC) [3][4][5][6]. Generally, FTC strategies are classified into two categories.…”

Section: Introductionmentioning

confidence: 99%

Fault Tolerant Control of Vehicle Lateral Dynamic Using a New Pneumatic Forces Multiple Model

2020

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This paper presents a new accurate multiple model of nonlinear pneumatic lateral forces. The bicycle representation is used in order to build up an easy implemented vehicle dynamic model. Moreover, the Takagi–Sugeno fuzzy approach is applied in order to handle the vehicle model nonlinearities. This structure allows for taking into account the small variation of the vehicle longitudinal velocity. Subsequently, a Fault Tolerant Control strategy that is based on a bank of fuzzy Luenberger observers is proposed. The robustness of the control scheme against external noises is guaranteed by applying H∞ performance. Sufficient stability conditions that are based on Lyapunov method are formulated as Linear Matrix Inequality. Thus, allowing the computation of the observers’ and the controllers’ gains by using MATLAB. Finally, the simulation examples are performed to show the effectiveness of our proposal.

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

Cited by 5 publications

References 0 publications

T-S Fuzzy Observers to Design Actuator Fault-Tolerant Control for Automotive Vehicle Lateral Dynamics

T-S Fuzzy Observers to Design Actuator Fault-Tolerant Control for Automotive Vehicle Lateral Dynamics

T‐S fuzzy observer and actuator fault‐tolerant controller designs for descriptor systems

Fault Tolerant Control of Vehicle Lateral Dynamic Using a New Pneumatic Forces Multiple Model

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