Title: Online multivariable process identification in the frequency domain

Authors: Ya-Gang Wang, Xiao-Ming Xu, Wen-Jian Cai

Addresses: School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Road, Shanghai 200093, China. ' School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Road, Shanghai 200093, China. ' School of Electrical and Electronic Engineering, Nanyang Technological University, BLK S2, Nanyang Ave, 639798, Singapore

Abstract: In this paper, a new technique for online multivariable process identification in the frequency domain is presented. Set-point changes in the control loops are performed so that the process frequency-response matrix is estimated with signal decomposition and frequency spectrum analysis method, and accurate transform-function matrix is identified as well. The required input and output data are obtained while the processes are still in normal closed-loop operation. Simulation example is given to show both effectiveness and practicality of the identification method for multivariable processes.

Keywords: multivariable process identification; frequency response; modelling; simulation; control.

DOI: 10.1504/IJMIC.2010.033852

International Journal of Modelling, Identification and Control, 2010 Vol.10 No.1/2, pp.106 - 111

Available online: 02 Jul 2010 *

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