A fuzzy logic controller for temperature control of air handling plant

Chris Underwood

A fuzzy logic controller for temperature control of air handling plant

Chris Underwood

Research output: Contribution to conference › Paper › peer-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 language	English
Publication status	Published - Nov 2005
Event	CSTB Matlab / Simulink Building and HVAC Simulation Workshop - Paris Duration: 1 Nov 2005 → …

Conference

Conference	CSTB Matlab / Simulink Building and HVAC Simulation Workshop
Period	1/11/05 → …

Cite this

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title = "A fuzzy logic controller for temperature control of air handling plant",

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",

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language = "English",

note = "CSTB Matlab / Simulink Building and HVAC Simulation Workshop ; Conference date: 01-11-2005",

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AB - 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

M3 - Paper

T2 - CSTB Matlab / Simulink Building and HVAC Simulation Workshop

Y2 - 1 November 2005

ER -

A fuzzy logic controller for temperature control of air handling plant

Abstract

Conference

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