MV benchmark estimation based on high-frequency test signal. (November 2016)

• Record Type: Journal Article
• Authors: Zhang, Kangkang; Zhu, Yucai; Huang, Biao
• Is Part Of: Journal of process control. Volume 47(2016:Nov.)
• Page Start: 35
• Page End: 45
• Publication Date: 2016-11
• Subjects: Minimum variance benchmark -- Time-delay estimation -- Control performance monitoring -- Optimal test signal -- High-order ARX; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2016.08.005
• Languages: English
• ISSNs: 0959-1524

Abstract

Abstract : Highlights: Optimal test signal is introduced for control performance monitoring purpose. The minimum variance (MV) benchmark estimation without a prior knowledge of time-delay is proposed. A new method of time-delay estimation is developed by using high-order ARX model. Multivariable MV benchmark estimation is investigated. Abstract: This work is concerned with the minimum variance (MV) benchmark estimation without a prior knowledge of time-delay. The idea is to use a small high-frequency test signal in order to obtain the accurate time-delay estimation (TDE) result, then the MV benchmark can be calculated from the closed-loop data. Based on the analysis, a well designed test signal for control performance monitoring (CPM) is not only possible but also necessary, as it increases the identifiability of the closed-loop data without having a large effect on routine operation. A new TDE algorithm by using high-order auto regressive exogenous (ARX) model is proposed as well as the multivariable issue is investigated. Simulation examples of performance monitoring with low signal-to-noise ratio (SNR) are employed to demonstrate the effectiveness of the proposed method.