fault detection observer design in finite‐frequency domain for Lipschitz non‐linear systems

Zhou, Meng; Wang, Zhenhua; Shen, Yi; Shen, Mouquan

doi:10.1049/iet-cta.2017.0357

Cited by 40 publications

(29 citation statements)

References 37 publications

(83 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among model‐based fault detection methods, the observer‐based technique has been proved to be a powerful method by comparing the value of the residual signal with a predesigned threshold. Such as in Reference 11, actuator fault detection observer design in the finite‐frequency domain for Lipschitz non‐linear systems was considered, while sensor fault detection observer design for nonlinear systems with limited communication capacity was proposed in Reference 12. Finite‐frequency fault detect observer design for the fuzzy and LPV systems were respectively studied in References 13 and 14.…”

Section: Introductionmentioning

confidence: 99%

Actuator fault detection for the discrete‐time switched systems based on delta operator approach

Yang

et al. 2021

Optim Control Appl Methods

View full text Add to dashboard Cite

In this article, the problem of actuator fault detection for the discrete‐time switched system is considered based on the delta operator approach. The procedure can be carried out effectively in the presence of the unknown input, the outside disturbance, and the actuator fault by using the observer‐based method and the mode‐dependent average dwell‐time (MDADT) technique. In order to detect the actuator fault, an unknown input observer (UIO) is employed as the residual generator. Then, sufficient conditions are obtained to guarantee that the error system is asymptotically stable with an H∞ performance by means of the MDADT method and model‐dependent Lyapunov function technique. Furthermore, a specific design algorithm of the UIO is proposed. Finally, a circuit system is borrowed to demonstrate the effectiveness of the obtained techniques.

show abstract

Section: Introductionmentioning

confidence: 99%

Actuator fault detection for the discrete‐time switched systems based on delta operator approach

Yang

et al. 2021

Optim Control Appl Methods

View full text Add to dashboard Cite

show abstract

“…In passive FD, the system is monitored using the system inputs and outputs without manipulation. Passive FD approaches can be divided into model-based methods, 5,6 knowledge-based methods, 7 and data-driven methods. 8,9 On the other hand, the key idea of active FD is to enhance the output separability of the healthy model from the faulty ones by manipulating the input signal.…”

Section: Introductionmentioning

confidence: 99%

Active fault detection based on set‐membership approach for uncertain discrete‐time systems

Wang

Shi

Zhou

et al. 2020

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

Active fault detection facilitates determination of the fault characteristics by injecting proper auxiliary input signals into the system. This article proposes an observer-based on-line active fault detection method for discrete-time systems with bounded uncertainties. First, the output including disturbances, measurement noise and interval uncertainties at each sample time is enclosed in a zonotope. In order to reduce the conservativeness in the fault detection process, a zonotopic observer is designed to estimate the system states allowing to generate the output zonotopes. Then, a proper auxiliary input signal is designed to separate the output zonotopes of the faulty model from the healthy model that is injected into the system to facilitate the detection of small fault . Since the auxiliary input signal generation leads to a nonconvex optimization problem, it is transformed into a mixed integer quadratic programming problem. Finally, a case study based on a DC motor is used to show the effectiveness of the proposed method.

show abstract

“…These FD methods are always inaccurate in the presence of parameter variations in the SBW system, such as variation of the tire cornering stiffness and the system damping coefficient. To resolve this problem, sliding mode control (Huang et al , 2017; Dhahri et al , 2012) can be used to design the fault observer or the H_/H∞ index (Chen and Patton, 2017; Aouaouda et al , 2015; Hou and Patton, 1996; Zhou et al , 2017; Yang et al , 2013; Chilali and Gahinet, 1996) can be used to design the fault observer, to ensure that the FD is robust to influence of interference. However, although the fault observer designed in these previous studies can detect system failure, it is still difficult to determine faulty components and identify the fault size and time-varying characteristics.…”

Section: Introductionmentioning

confidence: 99%

Active fault-tolerant control of rotation angle sensor in steer-by-wire system based on multi-objective constraint fault estimator

Yang

Shen

Liu

et al. 2020

JICV

View full text Add to dashboard Cite

Purpose Steer-by-wire (SBW) system mainly relies on sensors, controllers and motors to replace the traditionally mechanical transmission mechanism to realize steering functions. However, the sensors in the SBW system are particularly vulnerable to external influences, which can cause systemic faults, leading to poor steering performance and even system instability. Therefore, this paper aims to adopt a fault-tolerant control method to solve the safety problem of the SBW system caused by sensors failure. Design/methodology/approach This paper proposes an active fault-tolerant control framework to deal with sensors failure in the SBW system by hierarchically introducing fault observer, fault estimator, fault reconstructor. Firstly, the fault observer is used to obtain the observation output of the SBW system and then obtain the residual between the observation output and the SBW system output. And then judge whether the SBW system fails according to the residual. Secondly, dependent on the residual obtained by the fault observer, a fault estimator is designed using bounded real lemma and regional pole configuration to estimate the amplitude and time-varying characteristics of the faulty sensor. Eventually, a fault reconstructor is designed based on the estimation value of sensors fault obtained by the fault estimator and SBW system output to tolerate the faulty sensor. Findings The numerical analysis shows that the fault observer can be rapidly activated to detect the fault while the sensors fault occurs. Moreover, the estimation accuracy of the fault estimator can reach to 98%, and the fault reconstructor can make the faulty SBW system to retain the steering characteristics, comparing to those of the fault-free SBW system. In addition, it was verified for the feasibility and effectiveness of the proposed control framework. Research limitations/implications As the SBW fault diagnosis and fault-tolerant control in this paper only carry out numerical simulation research on sensors faults in matrix and laboratory/Simulink, the subsequent hardware in the loop test is needed for further verification. Originality/value Aiming at the SBW system with parameter perturbation and sensors failure, this paper proposes an active fault-tolerant control framework, which integrates fault observer, fault estimator and fault reconstructor so that the steering performance of SBW system with sensors faults is basically consistent with that of the fault-free SBW system.

show abstract

fault detection observer design in finite‐frequency domain for Lipschitz non‐linear systems

Cited by 40 publications

References 37 publications

Actuator fault detection for the discrete‐time switched systems based on delta operator approach

Actuator fault detection for the discrete‐time switched systems based on delta operator approach

Active fault detection based on set‐membership approach for uncertain discrete‐time systems

Active fault-tolerant control of rotation angle sensor in steer-by-wire system based on multi-objective constraint fault estimator

Contact Info

Product

Resources

About