Simulation Of Intelligent PID Temperature Controller

Ang, Ling Yuen (2013) Simulation Of Intelligent PID Temperature Controller. Project Report. UTeM, Melaka. (Submitted)

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Abstract

The objectives of the project are to simulate linear Mamdami type fuzzy temperature controller and non-linear Takegi-Sugeno type fuzzy temperature controllers using MATLAB and Simulink, and to compare the performance between the two controllers. Two case studies were created to test the controllers. Case study I involved a water boiler, where the system is modelled using Joule’s Law and Law of Thermodynamics, and case study II involved a hair dryer, where the system is modelled using ARX method. In both cases, a Proportional-Integral-Derivative (PID) controller was tuned and the PID parameters were then used to obtain the gain of the fuzzy controllers. Simulation results confirmed that non-linear fuzzy controller has smaller overshoot and faster settling time compared to the linear fuzzy controller and PID controller, although an extra derivative gain may be needed for the non-linear fuzzy controller if the integral term is huge enough to affect the stability of the system.

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