0000000000460014

AUTHOR

Jean Claude Mugisha

showing 1 related works from this author

Design of temperature control system using conventional PID and Intelligent Fuzzy Logic controller

2015

In this paper, we present the design of temperature control for industrial heat treating furnace by using Intelligent Fuzzy Logic and PID controllers. Temperature control is important in heating processes as it can disqualify materials in terms of their physical properties when not well performed. Obviously PID temperature controller is the most used in industries to control non-linear processes. Consequently, it has been found that the output response from Fuzzy Logic is very accurate in terms of overshoot and steady state error when compared to that of PID. Moreover, both temperature controllers are modeled and simulated using MATLAB software.

Temperature controlController; Furnace; Fuzzy Logic; PID; Temperature; Artificial Intelligence; Control and Optimization; Discrete Mathematics and CombinatoricsControl and OptimizationComputer sciencePIDTemperaturePID controllerFurnaceControl engineeringFuzzy control systemFuzzy logicControllerFuzzy LogicControl theoryArtificial IntelligenceControl systemOvershoot (signal)Process controlDiscrete Mathematics and Combinatorics
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