A fuzzy logic tuned polynomial based predictor for processes having long dead-times

Poobalan Govender, Vladimir Bajic

Research output: Contribution to conferencePaperpeer-review

Abstract

Prediction using linear interpolation works well in systems where the destabilizing effects of long dead-times are not dominant. When the process contains a long dead-time, prediction using linear derivative control will not work because the measured signal will not contain sufficient information about any future changes that may occur in the loop. Under these conditions, the anticipatory nature of the derivative controller fails to ensure proper control of dead-time dominant processes. This paper proposes a fuzzy logic tuned, polynomial based nonlinear predictor to improve the control of plants experiencing instability due to long dead-times. The proposed predictor replaces the derivative controller in a PID controller, and contributes towards a general improvement of the control performance in systems having long dead-times.

Original languageEnglish (US)
Pages85-89
Number of pages5
StatePublished - Jul 11 2003
EventThe IEEE International conference on Fuzzy Systems - St. Louis, MO, United States
Duration: May 25 2003May 28 2003

Other

OtherThe IEEE International conference on Fuzzy Systems
CountryUnited States
CitySt. Louis, MO
Period05/25/0305/28/03

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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