Robust identification of continuous systems with dead-time from step responses

✍ Scribed by Qing-Guo Wang; Yong Zhang

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 204 KB
• Volume: 37
• Category: Article
• ISSN: 0005-1098
• DOI: 10.1016/s0005-1098(00)00177-1

✦ Synopsis

In this paper, a simple yet robust method is proposed for identi"cation of linear continuous time-delay processes from step responses. New linear regression equations are derived from the solution and its various-order integrals of the process di!erential equation. The regression parameters are then estimated without iterations, and explicit relationship between the regression parameters and those in the process are given. Due to use of the process output integrals in the regression equations, the resulting parameter estimation is very robust in the face of large measurement noise in the output. The proposed method is detailed for a second-order plus dead-time model with one zero, which can approximate most practical industrial processes, covering monotonic or oscillatory dynamics of minimum-phase or non-minimum-phase processes. Such a model can be obtained without any iteration. The e!ectiveness of the identi"cation method has been demonstrated through simulation and real-time implementation.

2001 Elsevier Science Ltd. All rights reserved.