Fault-Tolerant Drive-by-Wire Systems – Concepts and Realizations –

Isermann, Rolf; Schwarz, Ralf; Stölzl, Stefan

doi:10.1016/s1474-6670(17)37335-4

Cited by 28 publications

(29 citation statements)

References 12 publications

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“…In this subsection, the proposed fault detection scheme is based on the extended observer (5) in which the behaviors of the errors in the observer (5) in normal working mode/faulty situation are investigated to detect the perturbations in the actuators. By rigorous analysis of the time properties of the errors in (5), this subsection first considers the robustness and then the detectability properties of the proposed nonlinear fault diagnosis scheme.…”

Section: B Fault Detection Analysismentioning

confidence: 99%

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Adaptive fault tolerant control for actuator bias of nonlinear systems

Kang

Yang

2012

2012 24th Chinese Control and Decision Conference (CCDC)

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This paper deals with active fault tolerant controller design against time-varying actuator fault, aiming to improve the robustness, sensitivity of fault detection and the rapidity of whole diagnosis and compensation procedure. A high-gain observer technique is developed to design a residual signal with the estimation error of system states and the derivatives of system output. Then a reconfiguration controller is directly constructed based on the fault information from diagnosis procedure. A qualitative relation is derived to connect the robustness, rapidity and sensitivity of the proposed fault diagnosis scheme with the observe parameters. By prescribing the observer/controller parameters, the set of detectable faults, the time of detection and compensation and the bound of the closed-system signals are quantified. Finally, the theoretical results are illustrated by a simulation example of surfacemounted permanent magnet synchronous motors (PMSM).

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Section: B Fault Detection Analysismentioning

confidence: 99%

“…In general, the FTC approaches can be classified into two types: the passive approach and the active approach. The survey papers [5] and [6] review the state of the art in the field of FTC, and the recent advances have been reported in [7] and [8].…”

Section: Introductionmentioning

confidence: 99%

Adaptive fault tolerant control for actuator bias of nonlinear systems

Kang

Yang

2012

2012 24th Chinese Control and Decision Conference (CCDC)

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“…One important application field of DES is the automotive domain, namely in Drive-by-wire systems [3]. These systems are obviously safety-critical, since a system failure could cause the death or serious injury to people.…”

Section: Introductionmentioning

confidence: 99%

Error recovery in time-triggered communication systems using servers

Marques

Vasconcelos

Pedreiras

et al. 2013

2013 8th IEEE International Symposium on Industrial Embedded Systems (SIES)

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In communication systems, transient faults will eventually occur. Thus, some mechanism is necessary to handle them and achieve appropriate levels of reliability, particularly in safety-critical systems. One possibility is to rely on temporal redundancy, i.e., using message retransmissions. General requirements for such a mechanism would include a parsimonious use of extra bandwidth while guaranteeing the schedulability of the message set. In this paper we propose using on-line traffic scheduling together with scheduling servers to recover message errors in time-triggered systems on Controller Area Network (CAN), taking advantage of the Flexible TimeTriggered CAN protocol. This novel mechanism is shown to offer a desired error recovery latency using much less extra bandwidth than typical approaches used in time-triggered systems. In this paper we present this novel error recovery mechanism, including a thorough characterization as well as configuration guidelines, namely concerning how to choose the server parameters (type, period and capacity). The correctness of the proposed approach and its superior performance are validated with simulation using several communication benchmarks available in the literature.

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“…In general, fault-tolerant control can be achieved either passively by use of feedback control laws, or actively by means of a fault diagnosis and accommodation architecture. Patton (1997), Isermann et al (2000) and Zhang et al (2004) have provided excellent overviews of recent research work on FTC.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fault-tolerant control of non-linear systems: an improved CMAC-based fault learning approach

Zhu

Kang

2007

International Journal of Control

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The conventional cerebellar model articulation controllers (CMAC) learning scheme equally distributes the correcting errors into all addressed hypercubes, regardless of the credibility of those hypercubes. This paper presents the adaptive fault-tolerant control scheme of nonlinear systems using a fuzzy credit assignment CMAC neural network online fault learning approach. The credit assignment concept is introduced into fuzzy CMAC weight adjusting to use the learned times of addressed hypercubes as the credibility of CMAC. The correcting errors are proportional to the inversion of learned times of addressed hypercubes. With this fault learning model, the learning speed of fault can be improved. After the unknown fault is estimated, online, by using the fuzzy credit assignment CMAC, the effective control law reconfiguration strategy based on the sliding mode control technique is used to compensate for the effect of the fault. The proposed fault-tolerant controller adjusts its control signal by adding a corrective sliding mode control signal to confine the system performance within a boundary layer. The numerical simulations demonstrate the effectiveness of the proposed CMAC algorithm and fault-tolerant controller.

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Fault-Tolerant Drive-by-Wire Systems – Concepts and Realizations –

Cited by 28 publications

References 12 publications

Adaptive fault tolerant control for actuator bias of nonlinear systems

Adaptive fault tolerant control for actuator bias of nonlinear systems

Error recovery in time-triggered communication systems using servers

Adaptive fault-tolerant control of non-linear systems: an improved CMAC-based fault learning approach

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