A methodology for integrated system identification with IMC-PID controller design

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Abstract

This paper describes, in tutorial fashion, an integrated identification and control design methodology that begins with dynamic modelling from plant data and concludes with parameter settings for high performance PID controllers. By integrating identification with PID controller design, the method displays functionality that is often demanded by the practicing engineering community. The major steps in this integrated methodology are: experimental design, high-order ARX estimation, and control-relevant model reduction leading to models that comply with the MC-PID tuning rules. When a persistently exciting input is applied, high-order ARX model estimation is consistent, which makes it an attractive intermediate model for control-relevant model reduction purposes; furthermore, the low computational effort associated with ARX estimation means that simple statistical tools (such as cross validation) can be used to efficiently determine a suitable structure for the ARX model without substantial user intervention. The methodology is illustrated for the case of a delayed plant subject to a disturbance displaying significant drift. Copyright ©2007 CEA-IFAC.

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Flores, D. E. R. (2007). A methodology for integrated system identification with IMC-PID controller design. RIAI - Revista Iberoamericana de Automatica e Informatica Industrial, 4(4). https://doi.org/10.1016/s1697-7912(07)70240-6

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