Control of a heat diffusion system using Fuzzy Logic

MENDES, RUI PEDRO SILVA

http://hdl.handle.net/10400.22/30521

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Authors

MENDES, RUI PEDRO SILVA

Advisor(s)

Jesus, Isabel Maria de Sousa de

Abstract(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.