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Applied Sciences
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Fault Tolerant Control (FTC) Applied in Automotive Control
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Fault Tolerant Control (FTC) Applied in Automotive Control

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (15 April 2022) | Viewed by 2353

Special Issue Editor

Prof. Dr. Mohammed Chadli

E-Mail Website
Guest Editor
Université Paris-Saclay, Univ Evry, IBISC, 91020 Evry, France
Interests: robust control; fault detection and isolation (FDI); fault tolerant control (FTC) applied in automotive control

Special Issue Information

Dear Colleagues,

In recent years, much research has been carried out on fault tolerant control (FTC) and fault detection and isolation (FDI) dealing with theoretical aspects and for a broad range of applications, such as in unmanned aerial vehicles, satellites, airplanes, automobile, etc. This is because FDI and FTC in automotive testing is primarily driven by improving reliability and fault tolerance capability. Recent developments confirm that there are still areas of research to be explored within the FTC/FDI approaches, and computational complexities as well as implementation.

Given the importance of fault tolerant control techniques for such practical applications, this Special Issue is dedicated to presenting new research findings on fault tolerant control and fault detection and isolation with automotive control applications. The aim of this Special Issue is to focus on new and emerging trends in FDD/FTC with automotive control applications, clearly demonstrating the progress made. Thus, the expected articles should bring new ideas and approaches to automotive control systems, along with applications.

Prof. Dr. Mohammed Chadli
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • FDI algorithms and problem of detectability, monitorability, and re-configurability of faults
  • nonlinear approaches: LPV systems, fuzzy systems
  • estimation of vehicle parameters
  • FTC solutions in the automotive control applications, and safety issues

Published Papers (1 paper)

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Research

16 pages, 2681 KiB  
Article
Observer-Based Fault-Tolerant Predictive Control for LPV Systems with Sensor Faults: An Active Car Suspension Application
by Abdelaziz Abboudi, Sofiane Bououden, Mohammed Chadli, Ilyes Boulkaibet and Bilel Neji
Appl. Sci. 2022, 12(2), 684; https://0-doi-org.brum.beds.ac.uk/10.3390/app12020684 - 11 Jan 2022
Cited by 5 | Viewed by 1560
Abstract
In this paper, an observer-based robust fault-tolerant predictive control (ORFTPC) strategy is proposed for Linear Parameter-Varying (LPV) systems subject to input constraints and sensor failures. The main objective of this work is to establish a real observer based on a virtual observer to [...] Read more.
In this paper, an observer-based robust fault-tolerant predictive control (ORFTPC) strategy is proposed for Linear Parameter-Varying (LPV) systems subject to input constraints and sensor failures. The main objective of this work is to establish a real observer based on a virtual observer to be used to estimate both states and sensor failures of the system. The proposed virtual observer is employed to improve the observation precision and reduce the impacts of the sensor faults and the external disturbances in the LPV systems. In addition, a real observer is proposed to overcome the virtual observer margins and to ensure that all states and sensor faults of the system are properly estimated, without the need for any fault isolation modules. The proposed solution demonstrates that, using both observers, a robust fault-tolerant predictive control is established via the Lyapunov function. Moreover, sufficient stability conditions are derived using the Lyapunov approach for the convergence of the proposed robust controller. Furthermore, the proposed approach simultaneously computes the gains of the real observer and the controller from a linear matrix inequality (LMI), which is deduced from the estimation errors. Finally, the performance of the proposed approach is investigated by a simulation example of a quarter-vehicle model, and the simulation results under a sensor fault illustrate the robustness and performance of the proposed method. Full article
(This article belongs to the Special Issue Fault Tolerant Control (FTC) Applied in Automotive Control)
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