제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2003년도 ICCAS
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- Pages.2612-2616
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- 2003
A Study of Performance Monitoring and Diagnosis Method for Multivariable MPC Systems
- Lee, Seung-Yong (Department of Chemical Engineering, Sogang University) ;
- Youm, Seung-Hun (Department of Chemical Engineering, Sogang University) ;
- Lee, Kwang-Soon (Department of Chemical Engineering, Sogang University)
- 발행 : 2003.10.22
초록
Method for performance monitoring and diagnosis of a MIMO control system has been studied aiming at application to model predictive control (MPC) for industrial processes. The performance monitoring part is designed on the basis of the traditional SPC/SQC method. To meet the underlying premise of Schwart chart observation that the observed variable should be univariate and independent, the process variables are decorrelated temporally as well as spatially before monitoring. The diagnosis part was designed to identify the root of performance degradation among the controller, process, and disturbance. For this, a method to estimate the model-error and disturbance signal has been devised. The proposed methods were evaluated through numerical examples.