Model-based fault detection for time variant processes with application to an automotive actuator

Pfeufer, Thomas; Höfling, Thomas

doi:10.1109/acc.1995.531276

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…The speed üKis calculated by a state variable filter. The time variant parameter RA-is estimated online by the single parameter tracking algorithm (Pfeufer and Hofling, 1995) and adapted in the parity equation according to the described procedure. The magnetic flux linkage 'F is adapted as well using the relation between the estimated RA and the corresponding 'F (see Fig 6).…”

Section: Theoretical Modelling and Identificationmentioning

confidence: 99%

<title>Intelligent electromechanical actuators</title>

Pfeufer

Isermann

1996

SPIE Proceedings

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Servo systems play an important role in many automated processes. In order to fulfil the hard demands on reliability and fast and precise operation, intelligent concepts for the control, supervision and (re)configuration are necessary. In this paper, an approach is presented which integrates different levels of signal processing in an electromechanical servo system. The digital controller and the model-based fault detection scheme are designed taking into account model-uncertainty and the time variant process behaviour, which is caused by temperature influences, wear, aging, etc. After a brief description of the theoretical basis an experimental application shows results for an automobile servo system which is driven by a d.c. motor.

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Section: Theoretical Modelling and Identificationmentioning

confidence: 99%

<title>Intelligent electromechanical actuators</title>

Pfeufer

Isermann

1996

SPIE Proceedings

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“…13 Recently, model-based fault detection schemes have been proposed in the literature. 14,15 There is an extensive literature on sliding mode control (SMC) including the derivation of robust controllers for air path control. Indeed, SMC and higher-order SMC is considered to be one of the most effective methods to control uncertain conditions.…”

Section: Introductionmentioning

confidence: 99%

Second-order sliding mode controllers: an experimental comparative study on a mechatronic actuator

Harmouche

Laghrouche

Ahmed

et al. 2012

Proceedings of the Institution of Mechanical Engineers, Part I:

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Numerous advanced control techniques for actuator control of an engine's air path have been developed in recent years. Among these approaches, the performance of sliding mode controllers stands out due to their robustness against changes in the physical conditions around the engine. This paper presents the design and testing of three high-order sliding mode controllers and a comparison of their performance in controlling a mechatronic engine air path valve. The most effective strategies are further tested for their robustness against variations in temperature and load conditions. The experimental results show the effectiveness and robustness of the controllers. Comparative results are presented that allow the performance of the considered algorithms to be compared both with respect to each other and with respect to sliding surfaces.

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Intelligent Electromechanical Servosystem

Pfeufer

Isermann

1996

IFAC Proceedings Volumes

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Model-based fault detection for time variant processes with application to an automotive actuator

Cited by 4 publications

References 17 publications

<title>Intelligent electromechanical actuators</title>

<title>Intelligent electromechanical actuators</title>

Second-order sliding mode controllers: an experimental comparative study on a mechatronic actuator

Intelligent Electromechanical Servosystem

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