Dai_Yang_IEEE_5th_Asian_Control_2004.pdf (748.96 kB)
Download fileFault detection in model predictive controller
conference contribution
posted on 2009-01-27, 13:56 authored by Chengwei Dai, Shuang-Hua YangReal-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
© IEEEVersion
- VoR (Version of Record)
Publication date
2004Notes
This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.ISBN
0780388739Language
- en