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Control of a heat diffusion system using Fuzzy Logic
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Resumo(s)
Heat di usion systems are typically controlled by Proportional Integral Derivative
(PID) controllers but other approaches, such as Fuzzy Logic Controller (FLC), can o er
better results. This technique transforms qualitative and imprecise information (expressed
linguistically), into quantitative data which allows a more precise and adaptive control.
In this thesis, it is proposed a Fuzzy Logic based control strategy for a heat di usion
system, comparing its performance with traditional PID control. The methodology includes
system modeling, design the fuzzy inference system, and simulation using MATLAB
with additional tests using Anti-Windup compensation and Smith Predictor to improve
transient response and time-delay handling. The nal validation introduces simulated environmental
noise representing real-world disturbances, (e.g. sudden temperature changes
from opening the door) to evaluate controller robustness. Results demonstrate that Fuzzy
Logic improves response accuracy, disturbance rejection, and adaptability to varying operating
conditions, highlighting its potential for thermal systems with complex dynamics.
Descrição
Palavras-chave
Heat diffusion Fuzzy Logic PID controllers Anti-windup Smith predictor Disturbance