Estimation/decoupling approach for robust Takagi–Sugeno UIO-based fault reconstruction in nonlinear systems affected by a simultaneous time-varying actuator and sensor faults

Hadi, Ali Saad; Shaker, Montadher Sami; Jawad, Qusay A.

doi:10.1080/00207721.2019.1671528

Cited by 8 publications

(5 citation statements)

References 44 publications

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“…With reference to (6), it is clear that only integral action is used to provide an estimation of a sensor fault. Consequently, constant and slowly time-varying faults can be accurately estimated using the augmentation in (6).…”

Section: Design Of Fe Based On Uiomentioning

confidence: 99%

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Robust integration of fault estimation and sliding mode fault‐tolerant control for interconnected systems against sensor fault

Abdul‐Jaleel,

Shaker

2023

Asian Journal of Control

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This paper provided a robust strategy for controlling nonlinear interconnected large‐scale systems subject to a sensor fault. The inherent challenge in controlling such systems is to sustain robust closed‐loop stability and performance in nonlinear interactions, faults, and exogenous inputs. A new closed‐loop structure has been devised to tackle this challenge by integrating the sliding mode controller with the unknown input observer. By exploiting the decoupling capability of the controller and observer, this integration ensures the robustness of the closed‐loop system against the simultaneous effect of interaction, fault, and disturbance. In this context, the unknown input observer has been constructed to supply the controller with an accurate sensor fault assessment despite additional unknown inputs. A novel approach is proposed for designing a decentralized fault‐tolerant control system that utilizes sliding mode control and proportional‐integral‐derivative controller tuning via a bacterial foraging optimization algorithm to compensate for the fault effect, leading to a robust output performance. The observer and controller gains are accomplished by utilizing the H∞ performance and linear matrix inequality formulation. The Lyapunov technique is used to demonstrate stability. A power system model emphasizes the proposed approach's robustness and effectiveness. The system performance with and without the proposed controller was compared, where the simulation results show a fast reaction to offset undesirable impacts, whereas the state estimation error approaches to zero in each subsystem.

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Section: Design Of Fe Based On Uiomentioning

confidence: 99%

“…A large-scale system (LSS) can be controlled using one of three basic controls: centralized, decentralized, or distributed. The decentralized control attracts the researchers, as no information is shared between subsystems [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Robust integration of fault estimation and sliding mode fault‐tolerant control for interconnected systems against sensor fault

Abdul‐Jaleel,

Shaker

2023

Asian Journal of Control

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“…Through the above analysis of the insufficient application of the new LESO, to ensure that it can increase the observation bandwidth effectively of LESO and solve the problem of poor suppression of LESO at highfrequency noise, referring to the lead correction and lag correction in the automatic control principle method [22], which improve equation (15) to the following expression:…”

Section: ) Improved Second-order Leso With Leading and Lagging Linksmentioning

confidence: 99%

“…ESO is the core link that affects the performance of ADRC technology, and research on ESO has always been an important topic. In reference [13], a novel initial fault estimation scheme based on descriptor observer is designed, which is used for the initial fault evaluation of high-speed railway traction equipment, and the result is very good; Reference [14] proposes a novel robust diagnostic design scheme to observe the failure of the initial stator / rotor winding failure; Reference [15] for the reliable design of takagi sugeno multiple integral unknown input observer (TSMIUIO), a nonlinear system affected by time-varying actuator and sensor faults at the same time, the robust fault reconstruction is realized by using ESO to estimate the twoway interaction of actuator and sensor faults at the same time, which improves the control effect of the system greatly. Reference [16] from the frequency domain point of view, through mathematical derivation and Bode plot simulation analysis LESO has a good dynamic tracking estimation ability and filtering characteristics; In reference [17], a switching strategy between nonlinear and linear ESO is proposed, which combines the advantages of high tracking accuracy, fast response speed, convenient parameter setting of LESO and insensitivity to the variation of disturbance amplitude.…”

Section: Introductionmentioning

confidence: 99%

New Double Closed Loop Linear Active Disturbance Rejection Control of Energy Storage Grid-Connected Inverter Based on Lead-Lag Correction Link

Yang

Zhou

et al. 2020

IEEE Access

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The energy storage grid-connected inverter system is a complex system with strong nonlinearity and strong coupling, which quality and efficiency of grid-connection are affected by factors such as grid voltage fluctuations and model uncertainty. Based on the analysis of the working principle of the grid-connected energy storage system, this paper aims to improve the performance of the traditional linear active disturbance rejection control (LADRC) technology, in order to overcome the problems of serious phase lag of linear extended state observer (LESO) and poor ability to suppress high-frequency noise on the basis of introducing the proportional differential link in the traditional LESO, the differential term of output voltage error is introduced in LESO. In addition, the output of the channel for total disturbance is corrected to improve the disturbance observation ability of LESO against high-frequency noise. The theoretical proof of LADRC and the comparative analysis of Bode plots show that the improved LADRC has better anti-interference performance. Finally, to verify the effectiveness of the control strategy designed in this paper, different types of low-voltage ride-through faults are designed on the grid-side. The simulation results show that the new controller can improve the control performance effectively of the energy storage grid-connected system.

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“…In the literature, many works on fuzzy observer design and its application to FDD and FTC for T-S fuzzy models exist in both explicit and implicit cases see e.g. [20][21][22][23][24][25][26][27] for T-S explicit models case and [28][29][30][31][32][33][34][35][36][37] for T-S implicit models. It should be noted that, generally an interesting way to solve the various observer problems raised previously is to write the convergence conditions on the LMI form [38].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous state and fault estimation for Takagi-Sugeno implicit models with Lipschitz constraints

Ouzaz

Assoudi

Soulami

et al. 2021

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

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This paper presents a state and fault observer design for a class of Takagi-Sugeno implicit models (TSIMs) with unmeasurable premise variables satisfying the Lipschitz constraints. The fault variable is constituted by the actuator and sensor faults. The actuator fault affects the state and the sensor fault affects the output of the system. The approach is based on the separation between dynamic and static relations in the TSIM. Firstly, the method begins by decomposing the dynamic equations of the algebraic equations. Secondly, the fuzzy observer design that satisfies the Lipschitz conditions and permits to estimate simultaneously the unknown states, actuator and sensor faults is developed. The aim of this approach for the observer design is to construct an augmented model where the fault variable is added to the state vector. The exponential convergence of the state estimation error is studied by using the Lyapunov theory and the stability condition is given in term of only one linear matrix inequality (LMI). Finally, numerical simulation results are given to highlight the performances of the proposed method by using a TSIM of a single-link flexible joint robot.

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Estimation/decoupling approach for robust Takagi–Sugeno UIO-based fault reconstruction in nonlinear systems affected by a simultaneous time-varying actuator and sensor faults

Cited by 8 publications

References 44 publications

Robust integration of fault estimation and sliding mode fault‐tolerant control for interconnected systems against sensor fault

Robust integration of fault estimation and sliding mode fault‐tolerant control for interconnected systems against sensor fault

New Double Closed Loop Linear Active Disturbance Rejection Control of Energy Storage Grid-Connected Inverter Based on Lead-Lag Correction Link

Simultaneous state and fault estimation for Takagi-Sugeno implicit models with Lipschitz constraints

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