posted on 2009-01-27, 13:56authored byChengwei 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.