A method of MPC model error detection

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• 作者：Guoli Ji^a ; ^{glji@xmu.edu.cn} ; Kangkang Zhang^a ; Yucai Zhu^b ; ^{yczhu@iipc.zju.edu.cn}
• 关键词：Model predictive control (MPC) ; Control performance monitoring and diagnosis ; Model error detection ; Frequency response
• 刊名：Journal of Process Control
• 出版年：2012
• 期刊代码：106_09591524
• 类别：et
• 出版时间：March, 2012
• 卷：22
• 期：3
• 页码：635-642
• 文件大小：470 K

摘要

This work introduces a method of multivariable model error detection in model prediction control (MPC). The idea is to use non-disturbing small sinusoidal test signals to obtain accurate estimates of process frequency responses at several frequency points. Then, the differences between estimated frequency responses and the frequency responses of current MPC model are used to form the model error index matrix which is used to access the model error of the MPC controller. An upper error bound is developed for quantifying the error of frequency response estimation. The method works in closed-loop operation with the MPC controller online. Simulation studies are used to demonstrate the use of the method.