Multivariable PID controller design using online generalised predictive control optimisation

D.O. Uduehi, A.W. Ordys, Michael Grimble

Research output: Contribution to conferencePaper

Abstract

A novel multivariable state-space predictive PID optimal control law is proposed which is mathematically equivalent to generalised predictive control (GPC). The theoretical problem to be considered is to obtain the causal, stabilising, controllers of pre-specified PID structure, such that the individual PID controllers satisfy a multivariable predictive criterion and hence collectively perform as a multivariate GPC controller. The underlying practical problem and aim of this work is to obtain and develop an online optimisation method for tuning PID controllers so that they can operate either as classical PID controllers or in unison as a multivariable GPC controller. It is shown that such an approach leads to a dual mode controller which is the ability to switch the multivariable PID between operating either as a classical PID controller or a GPC controller.

Original languageEnglish
Pages272-277
Number of pages6
DOIs
Publication statusPublished - Dec 2002
Event2002 International Conference on Control Applications - Glasgoq, United Kingdom
Duration: 18 Sep 200220 Sep 2002

Conference

Conference2002 International Conference on Control Applications
CountryUnited Kingdom
CityGlasgoq
Period18/09/0220/09/02

Keywords

  • centralized control
  • three-term control
  • switches
  • stochastic processes
  • process control
  • predictive control
  • industrial control
  • design optimization
  • delay effects
  • control systems
  • multivariable PID
  • controller design
  • online
  • generalised
  • predictive control optimisation

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