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Title: An approach for controller fault detection
Authors: Dai, Chengwei
Yang, Shuang-Hua
Tan, Liansheng
Keywords: Controller fault detection;
Linear quadratic gaussian (LQG)
Generalized likelihood ratio (GLR)
Gaussian distribution
Issue Date: 2004
Publisher: © IEEE
Citation: DAI, C., YANG, S.H. and TAN, L., 2004. An approach for controller fault detection. IN: World Congress on Intelligent Control and Automation (WCICA 2004) , June 15 - 19, Hangzhou, China, Vol. 2, pp. 1637 - 1641.
Abstract: Monitoring and maintaining of control software becomes more and more important and difficult with the increase of control software in size and complexity. In this paper, an approach for control software fault detection is proposed, which is based on the monitoring of the discrepancies between the control outputs of the actual controller and the benchmark controller, a Linear Quadratic Gaussian (LQG) controller. The discrepancies are assumed to be Gaussian distribution with a stable mean under the normal situation. Faults in the actual controller are characterized by sudden jumps in the mean of the discrepancies. The fault detection is transferred into a jump point identification problem. A detector based on Generalized Likelihood Ratio (GLR) test is employed for the jump point identification. The proposed approach is applicable to general control software even it is only illustrated through a water heater case study with a simple PID controller.
Description: 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.
Version: Published
DOI: 10.1109/WCICA.2004.1340931
URI: https://dspace.lboro.ac.uk/2134/4127
ISBN: 0-7803-8273-0
Appears in Collections:Conference Papers (Computer Science)

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