EP-based adaptive tracker with observer and fault estimator for nonlinear time-varying sampled-data systems against actuator failures

The universal state-space adaptive observer-based fault diagnosis/estimator and the high-gain property tracker for sampled-data linear slowly time-varying system with unanticipated decay factors in actuators/system states are proposed in this paper. An improved Kalman filter-based adaptive observer is proposed in this paper to achieve better estimation-based performance recovery than the conventional one. A residual generation scheme and a mechanism for auto-tuning switched gain is presented, so that the proposed methodology is applicable for the fault detection and diagnosis (FDD) for actuator and state failures to yield high tracking performance recovery. For practical implementation, this paper also takes advantage of the merit of digital redesign methodology to convert a theoretically well-designed analog controller/observer with a high-gain property into its corresponding low-gain digital controller/observer without possibly losing the high tracking/estimation as well as FDD performance recovery.

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“…CkTGkT in system (2) is observable for any k, such that there exists a bounded time-varying matrix () np d LkTÎÂ [5] so that the system…”

Section: B Residual-generation-based Auto-tuning Switch Mechanism Fomentioning

confidence: 99%

Predictive Kalman filter-based fault estimator and control for sampled-data linear time-varying systems

Tsai

Wei

Guo

et al. 2010

2010 IEEE International Symposium on Industrial Electronics

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“…To improve the CS performance indices these controller structures can be extended with minor effort to advanced fuzzy controller structures [10,20,27,45]. Further research will be focused on fuzzy controllers extending the area of applicability to servo systems with essential nonlinearities, but together with appropriate analyses including the stability analysis due to many variables and parameters involved [48][49][50][51][52].…”

Section: Article In Pressmentioning

confidence: 99%

Generic two-degree-of-freedom linear and fuzzy controllers for integral processes

Precup

Preitl

Petriu

et al. 2009

Journal of the Franklin Institute

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“…Fault detection and isolation (FDI) for dynamic systems holds a major field in the modern control theory academia, due to the ever increasing demand from industry for higher safety and reliability standards [1][2][3]. A great deal of research works on FDI has been released from different points of view, among which a successful one is a modelbased observer approach using effective design tools that have been accumulated in the field over decades.…”

Section: Introductionmentioning

confidence: 99%

H_/H_∞Sensor Fault Detection and Isolation of Uncertain Time-Delay Systems

Jee¹,

Lee²,

Kim³

2014

Journal of Electrical Engineering and Technology

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-Sensor fault detection and isolation problems subject to performance are concerned for linear time-invariant systems with time delay in a state and parametric uncertainties. To that end, a model-based observer bank approach is pursued. The design conditions for both continuous-and discrete-time cases are formulated in terms of matrix inequalities, which are then converted to the problems solvable via an algorithm involving convex optimization.

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EP-based adaptive tracker with observer and fault estimator for nonlinear time-varying sampled-data systems against actuator failures

Cited by 15 publications

References 11 publications

Predictive Kalman filter-based fault estimator and control for sampled-data linear time-varying systems

Predictive Kalman filter-based fault estimator and control for sampled-data linear time-varying systems

Generic two-degree-of-freedom linear and fuzzy controllers for integral processes

H_/H_∞Sensor Fault Detection and Isolation of Uncertain Time-Delay Systems

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EP-based adaptive tracker with observer and fault estimator for nonlinear time-varying sampled-data systems against actuator failures

Cited by 15 publications

References 11 publications

Predictive Kalman filter-based fault estimator and control for sampled-data linear time-varying systems

Predictive Kalman filter-based fault estimator and control for sampled-data linear time-varying systems

Generic two-degree-of-freedom linear and fuzzy controllers for integral processes

H_/H∞Sensor Fault Detection and Isolation of Uncertain Time-Delay Systems

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H_/H_∞Sensor Fault Detection and Isolation of Uncertain Time-Delay Systems