Decentralized closed-loop parameter identification for multivariable processes from step responses

  • Authors:

  • Hua Mei;Shaoyuan Li;Wen-Jian Cai;Qiang Xiong

  • Affiliations:

  • Institute of Automation, Shanghai Jiao Tong University, Shanghai 200030, PR China;Institute of Automation, Shanghai Jiao Tong University, Shanghai 200030, PR China;School of Electrical and Electronic Engineering, Nanyang Technological University, 639798 Singapore, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University, 639798 Singapore, Singapore

  • Venue:
  • Mathematics and Computers in Simulation
  • Year:
  • 2005

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Abstract

This paper presents a novel technique for on-line decentralized closed-loop parameter identification of multivariable processes from step responses. Based on simple sequential step tests, the coupled closed-loop n-inputs and n-outputs (nxn) multivariable process is decoupled equivalently into n^2 independent single open-loop processes with an unit step input signal acting on the n^2 transfer functions. By using virtual step response signals, the parameters of each element in the transfer function matrix can be directly identified by the well-developed least squares methods. The significance of the proposed method is that it relaxes most restrictions of existing multivariable process identification methods, it is universally applicable to closed-loop identification for cross-coupling multivariable processes. Simulation examples are given to show both effectiveness and practicality of the identification method for a wide range of multivariable processes.