Modeling, Identification and Control (Oct 2017)

PD/PID controller tuning based on model approximations: Model reduction of some unstable and higher order nonlinear models

  • Christer Dalen,
  • David Di Ruscio

DOI
https://doi.org/10.4173/mic.2017.4.3
Journal volume & issue
Vol. 38, no. 4
pp. 185 – 197

Abstract

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A model reduction technique based on optimization theory is presented, where a possible higher order system/model is approximated with an unstable DIPTD model by using only step response data. The DIPTD model is used to tune PD/PID controllers for the underlying possible higher order system. Numerous examples are used to illustrate the theory, i.e. both linear and nonlinear models. The Pareto Optimal controller is used as a reference controller.

Keywords