A fuzzy logic controller for temperature control of air handling plant

Chris Underwood

Research output: Contribution to conferencePaperpeer-review

Abstract

In this work the development of a three-channel fuzzy temperature controller for air handling plant is considered Sugeno inference mechanisms are used and their advantages for control type problems are highlighted The fuzzy controller is benchmarked against conventionally-tuned PID control It is demonstrated that the fuzzy controller is easier to set up than the PID controller whilst offering superior control tracking performance The work has made use of Matlab/Simulink as well as the Matlab Fuzzy Logic Toolbox
Original languageEnglish
Publication statusPublished - Nov 2005
EventCSTB Matlab / Simulink Building and HVAC Simulation Workshop - Paris
Duration: 1 Nov 2005 → …

Conference

ConferenceCSTB Matlab / Simulink Building and HVAC Simulation Workshop
Period1/11/05 → …

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