Simulation Analysis of Non-Linear Fuzzy PID Temperature Controller

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. A case study has been created to test the controllers involved a water boiler, where the system is modeled using Joules Law and Law of Thermodynamics. 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.

• Periodical: Applied Mechanics and Materials (Volumes 465-466)
• Pages: 677-681
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.465-466.677
• Online since: December 2013
• Authors: Ling Yuen Ang, Fairul Azni Jafar
• Keywords: Fuzzy Logic, Nonlinear, PID, Temperature Controller

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