An Improved Polytopic Adaptive LPV Observer Design Under Actuator Fault

Houimli, Radhia; Bedioui, Neila; Besbes, Mongi

doi:10.1007/s12555-016-0504-x

Cited by 10 publications

(4 citation statements)

References 7 publications

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“…where N E and N F denote bases of the null space of E T and F , respectively. Therefore, from (7)- (11) and (19), (20), and (22), we have LMIs (12) and (13).…”

Section: Theorem 1 Consider the Closed-loop System (5) And Let N L mentioning

confidence: 99%

“…Until now, there have been mainly two types of methods to deal with LPV system fault estimation. One is the observer-based method [11][12][13][14], which can reconstruct faults accurately based on the precise model of the system, but it is sensitive to the models uncertainties and disturbances. To overcome this limitation, the H ∞ optimization-based method featuring strong robust performance has been proposed.…”

Section: Introductionmentioning

confidence: 99%

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Fault estimation for aero‐engine LPV systems based on LFT

Wang

Liu

2019

Asian Journal of Control

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In this paper, a fault estimator with linear fractional transformation (LFT) parameter dependency is designed for the linear parameter‐varying (LPV) system of the aero‐engine with both sensor and actuator faults under disturbances. After an aero‐engine affine parameter‐dependent LPV model is derived by the linear fitting method and matrix pseudo‐inverse method, the LPV model with disturbances and fault signals is transformed into a LFT structure. Based on the full block S‐procedure, the sufficient condition for the existence of the fault estimator is proposed, which can lead to less conservative results. Then the fault estimator design algorithm which can adjust to the current system dynamic adaptively is presented. Finally, a fault estimator is designed for a turbofan aero‐engine under multiple types of faults and disturbances to demonstrate the effectiveness of the proposed method.

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“…where N E and N F denote bases of the null space of E T and F , respectively. Therefore, from (7)- (11) and (19), (20), and (22), we have LMIs (12) and (13).…”

Section: Theorem 1 Consider the Closed-loop System (5) And Let N L mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fault estimation for aero‐engine LPV systems based on LFT

Wang

Liu

2019

Asian Journal of Control

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show abstract

“…Moreover, in [4] a method is proposed for minimizing the disturbances and the errors of the estimation by using H ∞ norm approach. Furthermore, a polytopic system-based solution is presented in [5]. The goal of that paper is to solve the state estimation and the fault detection problem at the same time.…”

Section: Introductionmentioning

confidence: 99%

Design Framework for Achieving Guarantees with Learning-Based Observers

2021

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The paper proposes a novel framework for state observer design, in which learning-based observers are incorporated. The aim of the method is to provide a framework, which is able to guarantee the limitation of the observation error, even if the error of the learning-based observer under all scenarios cannot be verified. The framework is based on the robust H∞ design method, which is able to provide guarantees on the resulted observer. Moreover, the observer design process is extended with a controller design, which leads to a joint robust H∞ controller-observer design. In this paper the proposed method is applied on a vehicle control problem, such as lateral path following. In this problem the goal of the observer is to provide an accurate lateral velocity signal for the vehicle, which is used in the controlled system for the generation of front wheel steering angle. The effectiveness of the method is illustrated through simulation examples on high-fidelity vehicle dynamic simulator CarMaker.

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“…In [38][39][40], the authors propose various AOs and apply them to the fault accommodation for dynamic systems. Meanwhile, the authors of [41,42] propose the novel AO and adaptive HGO for fault diagnosis, respectively. All these results show that the adaptive observer has a good ability to estimate the system faults.…”

Section: Introductionmentioning

confidence: 99%

Robust Decentralized Fault Estimation for Loss of Actuator Effectiveness of Multi-motor Web-winding System

Chu

Nian

Sun

et al. 2019

Int. J. Control Autom. Syst.

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This paper develops a method estimating the actuator power loss faults for the multi-motor web-winding system. Firstly, the web-winding system is regarded as a synthetic system with several dynamic subsystems and their dynamic models are given. Then, the nonlinear coordinate transformation is introduced to obtain a transformed system with block triangular structure and the interconnections among subsystems are allowed. Next, a decentralized adaptive high-gain observer with sliding-mode is designed for the obtained transformed system to estimate the system actuator power loss faults. Meanwhile, the estimation error dynamics can be obtained. Sufficient conditions of asymptotic stability for estimation error system are derived by Lyapunov theory, and the sliding-mode gain and fault estimation law are achieved. After that, the fault estimation observer for original multi-motor web-winding system is designed by inverse coordinate transformation. Finally, the simulations and analysis are implemented on the three-motor web-winding system to verify the effectiveness of the proposed method.

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An Improved Polytopic Adaptive LPV Observer Design Under Actuator Fault

Cited by 10 publications

References 7 publications

Fault estimation for aero‐engine LPV systems based on LFT

Fault estimation for aero‐engine LPV systems based on LFT

Design Framework for Achieving Guarantees with Learning-Based Observers

Robust Decentralized Fault Estimation for Loss of Actuator Effectiveness of Multi-motor Web-winding System

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