Multiplicative Fault Estimation-Based Adaptive Sliding Mode Fault-Tolerant Control Design for Nonlinear Systems

This article deals with the sliding mode fault-tolerant control (FTC) problem for a nonlinear system described under Takagi-Sugeno (T-S) fuzzy representation. In particular, the nonlinear system is corrupted with multiplicative actuator faults, process faults, and uncertainties. We start by construc...

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Main Authors: Ali Ben Brahim, Slim Dhahri, Fayçal Ben Hmida, Anis Sellami
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2018/1462594
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author Ali Ben Brahim
Slim Dhahri
Fayçal Ben Hmida
Anis Sellami
author_facet Ali Ben Brahim
Slim Dhahri
Fayçal Ben Hmida
Anis Sellami
author_sort Ali Ben Brahim
collection DOAJ
description This article deals with the sliding mode fault-tolerant control (FTC) problem for a nonlinear system described under Takagi-Sugeno (T-S) fuzzy representation. In particular, the nonlinear system is corrupted with multiplicative actuator faults, process faults, and uncertainties. We start by constructing the separated FTC design to ensure robust stability of the closed-loop nonlinear system. First, we propose to conceive an adaptive observer in order to estimate nonlinear system states, as well as robust multiplicative fault estimation. The novelty of the proposed approach is that the observer gains are obtained by solving the multiobjective linear matrix inequality (LMI) optimization problem. Second, an adaptive sliding mode controller is suggested to offer a solution to stabilize the closed-loop system despite the occurrence of real fault effects. Compared with the separated FTC, this paper provides an integrated sliding mode FTC in order to achieve an optimal robustness interaction between observer and controller models. Thus, in a single-step LMI formulation, sufficient conditions are developed with multiobjective optimization performances to guarantee the stability of the closed-loop system. At last, nonlinear simulation results are given to illustrate the effectiveness of the proposed FTC to treat multiplicative faults.
format Article
id doaj-art-3c1703ffbe2f46fbbc94e9b124a0d207
institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-3c1703ffbe2f46fbbc94e9b124a0d2072025-02-03T01:20:58ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/14625941462594Multiplicative Fault Estimation-Based Adaptive Sliding Mode Fault-Tolerant Control Design for Nonlinear SystemsAli Ben Brahim0Slim Dhahri1Fayçal Ben Hmida2Anis Sellami3Engineering Laboratory of Industrial Systems and Renewable Energies, National Higher School of Engineers of Tunis, Tunis University, Tunis, TunisiaEngineering Laboratory of Industrial Systems and Renewable Energies, National Higher School of Engineers of Tunis, Tunis University, Tunis, TunisiaEngineering Laboratory of Industrial Systems and Renewable Energies, National Higher School of Engineers of Tunis, Tunis University, Tunis, TunisiaEngineering Laboratory of Industrial Systems and Renewable Energies, National Higher School of Engineers of Tunis, Tunis University, Tunis, TunisiaThis article deals with the sliding mode fault-tolerant control (FTC) problem for a nonlinear system described under Takagi-Sugeno (T-S) fuzzy representation. In particular, the nonlinear system is corrupted with multiplicative actuator faults, process faults, and uncertainties. We start by constructing the separated FTC design to ensure robust stability of the closed-loop nonlinear system. First, we propose to conceive an adaptive observer in order to estimate nonlinear system states, as well as robust multiplicative fault estimation. The novelty of the proposed approach is that the observer gains are obtained by solving the multiobjective linear matrix inequality (LMI) optimization problem. Second, an adaptive sliding mode controller is suggested to offer a solution to stabilize the closed-loop system despite the occurrence of real fault effects. Compared with the separated FTC, this paper provides an integrated sliding mode FTC in order to achieve an optimal robustness interaction between observer and controller models. Thus, in a single-step LMI formulation, sufficient conditions are developed with multiobjective optimization performances to guarantee the stability of the closed-loop system. At last, nonlinear simulation results are given to illustrate the effectiveness of the proposed FTC to treat multiplicative faults.http://dx.doi.org/10.1155/2018/1462594
spellingShingle Ali Ben Brahim
Slim Dhahri
Fayçal Ben Hmida
Anis Sellami
Multiplicative Fault Estimation-Based Adaptive Sliding Mode Fault-Tolerant Control Design for Nonlinear Systems
Complexity
title Multiplicative Fault Estimation-Based Adaptive Sliding Mode Fault-Tolerant Control Design for Nonlinear Systems
title_full Multiplicative Fault Estimation-Based Adaptive Sliding Mode Fault-Tolerant Control Design for Nonlinear Systems
title_fullStr Multiplicative Fault Estimation-Based Adaptive Sliding Mode Fault-Tolerant Control Design for Nonlinear Systems
title_full_unstemmed Multiplicative Fault Estimation-Based Adaptive Sliding Mode Fault-Tolerant Control Design for Nonlinear Systems
title_short Multiplicative Fault Estimation-Based Adaptive Sliding Mode Fault-Tolerant Control Design for Nonlinear Systems
title_sort multiplicative fault estimation based adaptive sliding mode fault tolerant control design for nonlinear systems
url http://dx.doi.org/10.1155/2018/1462594
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AT slimdhahri multiplicativefaultestimationbasedadaptiveslidingmodefaulttolerantcontroldesignfornonlinearsystems
AT faycalbenhmida multiplicativefaultestimationbasedadaptiveslidingmodefaulttolerantcontroldesignfornonlinearsystems
AT anissellami multiplicativefaultestimationbasedadaptiveslidingmodefaulttolerantcontroldesignfornonlinearsystems