A fault-tolerant control framework for a class of non-linear networked control systems

Mao, Zehui; Jiang, Bin; Ding, Steven X.

doi:10.1080/00207720802556260

Cited by 40 publications

(37 citation statements)

References 24 publications

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“…Furthermore, the modeling error will also be considered in our future analysis. Some techniques and good ideas for fault diagnosis in [33][34][35][36][37][38] are very useful for our future investigation.…”

Section: Simulation Resultsmentioning

confidence: 99%

Sensor fault detection and isolation for wind turbines based on subspace identification and Kalman filter techniques

Wei

Verhaegen

Engelen

2010

Adaptive Control & Signal

108

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This paper aims at the blade root moment sensor fault detection and isolation issue for three-bladed wind turbines with horizontal axis. The underlying problem is crucial to the successful application of the individual pitch control system, which plays a key role for reducing the blade loads of large offshore wind turbines. In this paper, a wind turbine model is built based on the closed loop identification technique, where the wind dynamics is included. The fault detection issue is investigated based on the residuals generated by dual Kalman filters. Both additive faults and multiplicative faults are considered in this paper. For the additive fault case, the mean value change detection of the residuals and the generalized likelihood ratio test are utilized respectively. For multiplicative faults, they are handled via the variance change detection of the residuals. The fault isolation issue is proceeded with the help of dual sensor redundancy. Simulation results show that the proposed approach can be successfully applied to the underlying issue.

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Section: Simulation Resultsmentioning

confidence: 99%

Sensor fault detection and isolation for wind turbines based on subspace identification and Kalman filter techniques

Wei

Verhaegen

Engelen

2010

Adaptive Control & Signal

108

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“…Fruitful theoretical results and increasing applications in industrial practical, such as in power plant coal mills and robotic systems can be found in Zhong, Ye and Shi (2005), Gomes and Silva (2008), Huang and Tan (2008). Considering the rapid development of communication networks, a great amount of effort has been devoted to the problems of FDI for NCS (Zhang, Ding, Frank and Sader 2004;Zheng, Fang, and Wang 2006;Zhong and Han 2006;Fang, Ye, and Zhong 2007;Mao, Jiang, and Shi 2007;He, Wang, Ji and Zhou 2008a;He, Wang and Zhou 2008b;Mao, Jiang, and Ding 2009;Zhang, Chen, Sheng and Hesketh 2009).…”

Section: Introductionmentioning

confidence: 97%

Delay-distribution-dependent fault detection of networked control systems with stochastic quality of services

Chen

Yue

Yang

2010

International Journal of Systems Science

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Network-induced delay in networked control systems (NCS) is inherent non-uniform distribution and behaves with multifractal nature. However, such network characteristics have not been well considered in the fault detection and isolation of NCS. Making use of those statistical characteristics of NCS network-induced delay, a delay-distribution-based fault detection model is proposed, which is greatly different from the existing Markov switching process model. From this model together with a tighter bounding technique for cross-product terms, a delay-distribution-dependent H 1 fault detection filter is carried out with significantly improved results. A numerical example is given to demonstrate the effectiveness of the proposed method.

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“…Comparing with the extensive results in FDI for NCSs; for example, see survey papers [13] and [14], there are few results for FTC and reliable control area. FTC for a class of non-linear NCSs is designed in [15] which achieve input to state stability. In [16] FTC for NCSs with parameter uncertainties and stochastic actuator failure is considered.…”

Section: Introductionmentioning

confidence: 99%

Observer-based reliable control for Lipschitz nonlinear networked control systems with quadratic protocol

Ahmadi

Salmasi

2015

Int. J. Control Autom. Syst.

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In this paper, observer-based reliable control problem for nonlinear networked control systems (NCSs) with quadratic protocol (QP) in presence of actuator fault is studied. Two sensor nodes are employed for system output measurement and transmission to remote observer-based reliable controller (RORC) based on QP. In spite of the majority of the existing results, both measurement and actuation channels are taken into account for data transmission of sensor-to-RORC and RORC-to actuator, respectively. A RORC is developed to estimate the system states and simultaneously generate the control input at its side. The closed-loop system is modeled by a hybrid system with interval time-varying delays in continuous dynamics and in the reset conditions. By using Lyapunov-Krasovskii functional method and some matrix manipulations, designing of RORC and the QP parameters are formulated in linear matrix inequalities (LMIs) framework with equality constraint. Numerical simulations are presented to show the effectiveness and applicability of the proposed approach.Keywords: Actuator fault, networked control system (NCS), network-induced delay, packet dropout, quadratic protocol (QP), remote observer-based reliable controller (RORC).

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A fault-tolerant control framework for a class of non-linear networked control systems

Cited by 40 publications

References 24 publications

Sensor fault detection and isolation for wind turbines based on subspace identification and Kalman filter techniques

Sensor fault detection and isolation for wind turbines based on subspace identification and Kalman filter techniques

Delay-distribution-dependent fault detection of networked control systems with stochastic quality of services

Observer-based reliable control for Lipschitz nonlinear networked control systems with quadratic protocol

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