Online multivariable process identification in the frequency domain Online publication date: Fri, 02-Jul-2010
by Ya-Gang Wang, Xiao-Ming Xu, Wen-Jian Cai
International Journal of Modelling, Identification and Control (IJMIC), Vol. 10, No. 1/2, 2010
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.
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