Frequency response model identification method for discrete-time processes with final cyclic-steady-state

A new non-parametric process identification method is proposed to obtain the discrete-time frequency response model from process input and output data. Existing discrete-time Fourier transform approach can be applied to only the case that the initial part and the final part of the process data are z...

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Bibliographic Details
Main Authors: Kyung Hwan Ryu, Kyung Su Kim, Ho Suk Kang, Si Nae Lee, Jun Young Cho, Ietae Lee, Su Whan Sung
Format: Conference Proceeding
Language:English
Subjects:
Cyclic-steady-state
Discrete-time
Fourier transforms
Frequency estimation
Frequency response
Frequency responses
Identification
Process control
Relays
Steady-state
z-transform
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Description
Summary:A new non-parametric process identification method is proposed to obtain the discrete-time frequency response model from process input and output data. Existing discrete-time Fourier transform approach can be applied to only the case that the initial part and the final part of the process data are zero-steady-state. The proposed method using a new transform can estimate the frequency response model from more various cases including initial-steady-state/final-steady-state and initial-steady-state/final-cyclic-steady-state. It can estimate exact frequency response model because no approximations are used in developing the proposed algorithm. Also, the proposed method can still provide exact model even in the case of static disturbances.