Fault detection and identification of aircraft control surface using adaptive observer and input bias estimator

Han, Yongsu; Oh, Sechan; Choi, Byungjoo; Kwak, Donghun; Kim, H.J.; Kim, Y.

doi:10.1049/iet-cta.2010.0724

Cited by 35 publications

(19 citation statements)

References 31 publications

(39 reference statements)

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“…Α LC e Βδ (8) Suppose that the   , Α C is observable, using the bilinear quadratic adjustor method, the gain L can be obtained as follows: (10) Where the 0 Q is the positive semi-definite weighting matrix, 0 R is the positive definite weighting matrix. When δ tends to 0, the estimate error also is approaching 0.…”

Section: Augmented Observermentioning

confidence: 99%

Adaptive Observer for Multi-Effectors Aircraft with Control Surface Damage

Zhang¹

2017

Proceedings of the 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016)

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Abstract. An adaptive compensation observer is presented for fast diagnose of multi-effectors aircraft in the presence of control surfaces fault, which directly estimates the deflection angles of control surfaces. An augmented observer is designed for the estimation of system input, and an adaptive compensation is introduced to improve the dynamic tracking performance of observer. Simulation results suggest that, for different cases of actuator faults, the proposed observer methods can achieve fault alarm within 20 milliseconds and determine the fault location in 0.22 seconds.

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Section: Augmented Observermentioning

confidence: 99%

Adaptive Observer for Multi-Effectors Aircraft with Control Surface Damage

Zhang¹

2017

Proceedings of the 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016)

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“…For the system with unknown parameters, an adaptive observer is proposed in , which considers the joint estimation of states and unknown parameters. This method have received lots of contribution both for linear systems and nonlinear systems . In the literature, the unknown parameters are assumed to be embedded either in state equations or in output equations.…”

Section: Fe For Ltpss With Mfsmentioning

confidence: 99%

Realization of Actuator‐Fault Estimation for Distributed Wireless Networked Control Systems

Wang

Zhang

2016

Asian Journal of Control

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This paper addresses a study of fault estimation for distributed wireless networked control systems (WNCSs) with actuator multiple faults during industrial automatic processes. Firstly, the model of WNCSs is formulated as linear time periodic systems (LTPSs) according to the periodicity of subsystems in WNCSs. Afterwards, the distributed fault estimation (FE) method for LTPSs is concerned. The strategy of avoiding the problem of structure‐limitation in the FE gain and the realization of the proposed method in the real process are especially detailed. Finally, the proposed FE method is verified on a wireless network control (WiNC) platform.

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“…The online fault estimation question was further pursued [16]. A nonlinear aircraft model with multiple control surfaces was considered and a fault detection and isolation (FDI) algorithm was proposed for the stuck fault detection.…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis for Actuators in a Class of Nonlinear Systems Based on an Adaptive Fault Detection Observer

Guo

Gan

et al. 2016

Mathematical Problems in Engineering

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The problem of actuators’ fault diagnosis is pursued for a class of nonlinear control systems that are affected by bounded measurement noise and external disturbances. A novel fault diagnosis algorithm has been proposed by combining the idea of adaptive control theory and the approach of fault detection observer. The asymptotical stability of the fault detection observer is guaranteed by setting the adaptive adjusting law of the unknown fault vector. A theoretically rigorous proof of asymptotical stability has been given. Under the condition that random measurement noise generated by the sensors of control systems and external disturbances exist simultaneously, the designed fault diagnosis algorithm is able to successfully give specific estimated values of state variables and failures rather than just giving a simple fault warning. Moreover, the proposed algorithm is very simple and concise and is easy to be applied to practical engineering. Numerical experiments are carried out to evaluate the performance of the fault diagnosis algorithm. Experimental results show that the proposed diagnostic strategy has a satisfactory estimation effect.

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Fault detection and identification of aircraft control surface using adaptive observer and input bias estimator

Cited by 35 publications

References 31 publications

Adaptive Observer for Multi-Effectors Aircraft with Control Surface Damage

Adaptive Observer for Multi-Effectors Aircraft with Control Surface Damage

Realization of Actuator‐Fault Estimation for Distributed Wireless Networked Control Systems

Fault Diagnosis for Actuators in a Class of Nonlinear Systems Based on an Adaptive Fault Detection Observer

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