Fuzzy logic adaptive control for regulation of air flow

Kiriakos Kiriakidis, Anthony Tzes, Apostolos Grivas

Research output: Contribution to conferencePaperpeer-review

Abstract

The design and implementation of a novel fuzzy logic adaptive variable structure controller is considered in this paper. The proposed control policy is derived from principles of sliding mode control and fuzzy logic inference. To minimize the distance to the sliding surface the advocated controller produces an input which drives the rate of change of a candidate Lyapunov function to negative values. Through fuzzy logic adaptation of the switching gains the method overcomes the modeling obstacle to control such systems that are governed by nonlinear, time varying and distributed state equations subject to complex boundary conditions. The controller is demonstrated by an experimental prototype of an air handling plant which emulates the behavior of an electronic component cooling system.

Original languageEnglish (US)
Pages235-242
Number of pages8
StatePublished - 1995
EventProceedings of the 1995 ASME International Mechanical Engineering Congress and Exposition - San Francisco, CA, USA
Duration: Nov 12 1995Nov 17 1995

Other

OtherProceedings of the 1995 ASME International Mechanical Engineering Congress and Exposition
CitySan Francisco, CA, USA
Period11/12/9511/17/95

ASJC Scopus subject areas

  • Software
  • Mechanical Engineering

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