Development of a Fault Detection Model-Based Controller

Nitin Afzulpurkar () and Vu Trieu Minh ()
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Nitin Afzulpurkar: Asian Institute of Technology (AIT)
Vu Trieu Minh: Sirindhorn International Thai-German Graduate School (TGGS), King Mongkut’s Institute of Technology North Bangkok (KMITNB)

A chapter in Modeling, Simulation and Optimization of Complex Processes, 2008, pp 1-13 from Springer

Abstract: Abstract This paper describes a model-based control system that can online determine the optimal control actions and also detect faults quickly in the controlled process and reconfigure the controller accordingly. Thus, such system can perform its function correctly even in the presence of internal faults. A fault detection model- based (FDMB) controller consists of two main parts, the first is fault detection and diagnosis (FDD); and the second is controller reconfiguration (CR). Systems subject to such faults are modeled as stochastic hybrid dynamic model. Each fault is deterministically represented by a mode in a discrete set of models. The FDD is used with interacting multiple- model (IMM) estimator and the CR is used with generalized predictive control (GPC) algorithm. Simulations for the proposed controller are illustrated and analyzed.

Keywords: Fault Detection; Transition Probability Matrix; Actuator Failure; Generalize Predictive Control; Stochastic Hybrid System (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-79409-7_1

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DOI: 10.1007/978-3-540-79409-7_1

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