Logo

FAULT DETECTION MODEL-BASED CONTROLLER FOR PROCESS SYSTEMS

Vu, Trieu Minh (2011) FAULT DETECTION MODEL-BASED CONTROLLER FOR PROCESS SYSTEMS. ASIAN JOURNAL OF CONTROL, 13 (3). pp. 382-397. ISSN 1561-8625

[img] PDF
Restricted to Registered users only

44Kb

Official URL: http://apps.isiknowledge.com/full_record.do?produc...

Abstract

This paper develops a model-based control system for fault detection and controller reconfiguration using stochastic model predictive control (MPC). The system can determine online the optimal control actions, detect faults quickly, and reconfigure the controller accordingly. Such a system can perform its function correctly 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 abrupt failures are modeled as stochastic hybrid systems with variable-structure. This paper deals with three challenging issues: design of the fault-model set; estimation of hybrid multiple models; and stochastic MPC of hybrid multiple models. For the first issue, we propose a simple scheme for designing a fault model set based on random variables. For the second issue, we consider and select a fast and reliable FDD system applied to the above model set. Finally, we develop a stochastic MPC scheme for multiple model CR with soft switching signals based on the weighted probabilities of the outputs of different models. Simulations for the proposed FDMB controller are illustrated and analyzed.

Item Type:Article
Subjects:T Technology > T Technology (General)
Departments / MOR / COE:Departments > Mechanical Engineering
ID Code:5702
Deposited By: Dr Trieu Minh Vu
Deposited On:12 Jun 2011 04:50
Last Modified:19 Jan 2017 08:22

Repository Staff Only: item control page

Document Downloads

More statistics for this item...