Mathematical Problems in Engineering

Mathematical Problems in Engineering / 2007 / Article
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Dynamics and Control in Sciences and Engineering

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Research Article | Open Access

Volume 2007 |Article ID 080321 | https://doi.org/10.1155/2007/80321

Vu Trieu Minh, Nitin Afzulpurkar, W. M. Wan Muhamad, "Fault Detection and Control of Process Systems", Mathematical Problems in Engineering, vol. 2007, Article ID 080321, 20 pages, 2007. https://doi.org/10.1155/2007/80321

Fault Detection and Control of Process Systems

Academic Editor: José Manoel Balthazar
Received08 Sep 2006
Revised25 Dec 2006
Accepted05 Feb 2007
Published29 Mar 2007

Abstract

This paper develops a stochastic hybrid model-based control system that can determine online the optimal control actions, detect faults quickly in the control process, and reconfigure the controller accordingly using interacting multiple-model (IMM) estimator and generalized predictive control (GPC) algorithm. A fault detection and control system consists of two main parts: the first is the fault detector and the second is the controller reconfiguration. This work deals with three main challenging issues: design of fault model set, estimation of stochastic hybrid multiple models, and stochastic model predictive control of hybrid multiple models. For the first issue, we propose a simple scheme for designing faults for discrete and continuous random variables. For the second issue, we consider and select a fast and reliable fault detection system applied to the stochastic hybrid system. Finally, we develop a stochastic GPC algorithm for hybrid multiple-models controller reconfiguration with soft switching signals based on weighted probabilities. Simulations for the proposed system are illustrated and analyzed.

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Copyright © 2007 Vu Trieu Minh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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