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 |
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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 |
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Period | 1/11/05 → … |