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Fault detection in model predictive controller

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conference contribution
posted on 27.01.2009, 13:56 by Chengwei Dai, Shuang-Hua Yang
Real-time monitoring and maintaining model predictive controller (MPC) is becoming an important issue with its wide implementation in the industries. In this paper, a measure is proposed to detect faults in MPCs by comparing the performance of the actual 'controller with the pedormance of the ideal controller. The ideal controller is derived from the dynamic matrix control @MC) in an ideal work situation and treated as a measure benchmark. A detection index based on the comparison is proposed to detect the state change of the target controller. This measure is illustrated through the implementation for a water tank process.

History

School

  • Science

Department

  • Computer Science

Citation

DAI, C. and YANG, S.H., 2004. Fault detection in model predictive controller. IN: Asian Control Conference, 20-23 July, Melbourne, Vol. 2 , pp. 943 - 947.

Publisher

© IEEE

Version

VoR (Version of Record)

Publication date

2004

Notes

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ISBN

0780388739

Language

en

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