A Survey of Fault Detection, Isolation, and Reconfiguration Methods

Hwang, Inseok; Kim, Sung‐Wan; Kim, Youdan; Seah, Chze Eng

doi:10.1109/tcst.2009.2026285

Cited by 1,147 publications

(571 citation statements)

References 125 publications

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“…Fault Detection and Isolation (FDI) has been a long-standing research topic, since the early 70's (see [34]), but still poses remarkable challenges to both the scientific community and the industry (see, for example, the survey in [17] and references therein). Classical fault detection methods such as the ones proposed in [34], [8], [12] and [23], rely on the design of filters that should be able to generate large enough residuals under faulty environments.…”

Section: Introductionmentioning

confidence: 99%

Self-Triggered and Event-Triggered Set-Valued Observers

Silvestre

Rosa

Hespanha

et al. 2018

Information Sciences

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This paper addresses the problem of reducing the required network load and computational power for the implementation of Set-Valued Observers (SVOs) in Networked Control System (NCS). Event-and self-triggered strategies for NCS, modeled as discrete-time Linear Parameter-Varying (LPV) systems, are studied by showing how the triggering condition can be selected. The methodology provided can be applied to determine when it is required to perform a full ("classical") computation of the SVOs, while providing low-complexity state overbounds for the remaining time, at the expenses of temporarily reducing the estimation accuracy. As part of the procedure, an algorithm is provided to compute a suitable centrally symmetric polytope that allows to find hyper-parallelepiped and ellipsoidal overbounds to the exact set-valued state estimates calculated by the SVOs. By construction, the proposed triggering techniques do not influence the convergence of the SVOs, as at some subsequent time instants, set-valued estimates are computed using the conventional SVOs. Results are provided for the triggering frequency of the self-triggered strategy and two interesting cases: distributed systems when the dynamics of all nodes are equal up to a reordering of the matrix; and when the probability distribution of the parameters influencing the dynamics is known. The performance of the proposed algorithm is demonstrated in simulation by using a time-sensitive example.

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Section: Introductionmentioning

confidence: 99%

Self-Triggered and Event-Triggered Set-Valued Observers

Silvestre

Rosa

Hespanha

et al. 2018

Information Sciences

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“…Actually, fault-tolerant control concepts are divided into "passive" and "active" approaches [1][2][3]. Assuming the possible faults are known a priori, the passive method takes into account of all these possible faults in the design stage and Online ISSN 1848-3380, Print ISSN 0005-1144 ATKAFF 57(3), 736-748(2016) does not change the controller when the fault occurs [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Backstepping design for fault detection and FTC of an induction motor drives-based EVs

Roubache¹,

Chaouch

Said

2016

Automatika

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Original scientific paperThis paper proposes an improved sensorless fault-tolerant control (FTC) for high-performance induction motor drives (IMD) that propels an electric-vehicle (EV). The design strategy is based on the Backstepping control (BC). However an appropriate combination of the BC and extended kalman filter (EKF) is done, this later is designed in order to detect and reconstruct the faults and also to give a sensorless control. Then, additional control laws, based on the estimates of the faults, are designed in order to compensate the faults. The results show the superiority EKF in nonlinear system as it provides better estimates for faults detection. A classical EV traction system is studied, using an IMD. Indeed, the IMD based powertrain is coupled to DC machine-based load torque emulator taking into account the EV mechanics and aerodynamics. Finally, the effectiveness of the proposed strategy for detection of faults, and FTC of the IMD is illustrated through simulation studies. Key words: Backstepping control (BC), Fault-tolerant control (FTC), Induction motor drives (IMD), Extended kalman filter (EKF), Electric vehicle (EV).Rekurzivna izvedba za uočavanje kvarnih stanja i upravljanje otporno na kvarna stanja električnih vozila zasnovanih na indukcijskim motorima. U ovome radu predložena je unaprije ena bez-senzorska upravljačka strategija otporna na kvarna stanja (FTC) za indukcijski motor visokih performansi koji pokreće električno vozilo (EV). Strategija je temeljena na rekurzivnom upravljanju (BC). Nadalje, izvedena je odgovarajuća kombinacija BC-a i proširenog Kalmanovog filtra (EKF), pričemu je potonji izveden u svrhu uočavanja i rekonstrukcije kvarova te kako bi omogućio bez-senzorsko upravljanje. Kako bi se kompenzirala kvarna stanja, dizajnirani su dodatni upravljački zakoni zasnovani na estimaciji kvarova. Rezultati prikazuju poboljšanje korištenjem EKF-a za nelinearne sustave budući da on omogućava kvalitetnije uočavanje kvarova. Razmatran je klasični pogon EV-a korištenjem IMD-a. Tako er, pogonski sklop zasnovan na IMD-u je povezan s emulatorom momenta zasnovanom na DC motoru, uzimajući u obzir mehaničke i aerodinamičke karakteristike EV-a. Na posljetku je simulacijama ilustrirana efikasnost predložene strategije za uočavanje kvarnih stanja i FTC-a IMD-a.Ključne riječi: Rekurzivno upravljanje (BC), upravljanje otporno na kvarna stanja (FTC), indukcijski motor (IMD), prošireni kalmanov filtar (EKF), električno vozilo (EV). INTRODUCTIONA motor control system with high robustness is an important issue in research. Induction motor drives (IMD) are making significant inroads, because of robustness and rugged structure. They are widely used in industrial applications such as, electric vehicles (EVs), traction locomotives etc. In the last decade, fault tolerance becomes an interesting topic in their controls. The objective is to give solutions that provide fault accommodation to the most frequent faults and thereby reduce the costs of handling the faults. Backstepping control (BC) is a robust...

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“…Fault tolerant control systems are divided into two categories, the Active FTC (AFTC) and the Passive FTC (PFTC) systems. In this work, the AFTC concept is introduced in order to accommodate multiple sensor faults [11,12,13].…”

Section: Introductionmentioning

confidence: 99%

Optimised sensor selection for control and fault tolerance of electromagnetic suspension systems: A robust loop shaping approach

2014

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This paper presents a systematic design framework for selecting the sensors in an optimised manner, simultaneously satisfying a set of given complex system control requirements, i.e. optimum and robust performance as well as fault tolerant control for high integrity systems. It is worth noting that optimum sensor selection in control system design is often a non-trivial task. Among all candidate sensor sets, the algorithm explores and separately optimises system performance with all the feasible sensor sets in order to identify fallback options under single or multiple sensor faults. The proposed approach combines modern robust control design, fault tolerant control, multiobjective optimisation and Monte Carlo techniques. Without loss of generality, it's efficacy is tested on an electromagnetic suspension system via appropriate realistic simulations.Keywords: Optimised sensor selection, Robust control, Fault tolerant control, Magnetic levitation, Multi-objective optimisation, Electromagnetic Suspension IntroductionOptimum sensor selection in practical control system design can be complex process especially if the selection is done with respect to a number of properties in order to achieve robust optimum performance and reliability properties.A typical closed-loop control system is shown in Fig. 1. Typically, a system to be controlled has a number of candidate control inputs (actuators) and outputs (sensors) that could be used to control it by proper controller design using one of the existing modern control methods. Moreover the system suffers from input disturbances and uncertainties or model inaccuracies. Additionally, faults highly The problem of sensor/actuator selection has been addressed before in the literature [5] but none of the methods consider simultaneous satisfaction of the aforementioned properties except in [6] where the authors have consider both optimum performance and sensor fault tolerance using Linear Quadratic Gaussian (LQG) control. Therefore the problem is to find the 'best' set of sensors, Y o , subject to the aforementioned control properties i.e. optimum performance, robustness, fault tolerance and minimum number of sensors.The novelty in this paper relies in the fact that optimum robust performance with sensor fault tolerance is achieved by combining robust control methods, Fault Tolerant Control (FTC), MultiObjective OPtimisation (MOOP) and Monte Carlo (MC) method as illustrated in Fig. 2.Robust control design in a practical control system has a vital role because real systems have

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A Survey of Fault Detection, Isolation, and Reconfiguration Methods

Cited by 1,147 publications

References 125 publications

Self-Triggered and Event-Triggered Set-Valued Observers

Self-Triggered and Event-Triggered Set-Valued Observers

Backstepping design for fault detection and FTC of an induction motor drives-based EVs

Optimised sensor selection for control and fault tolerance of electromagnetic suspension systems: A robust loop shaping approach

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