Design and Implementation of a Fuzzy Logic Controller for Power Plant Temperature Monitoring and Control using Fuzzylite

Design and implementation of a fuzzy logic controller for power plant temperature monitoring and control used fuzzy lite software to simulate using triangular method and compared with bell shape membership function. Fuzzy logic technology was deployed; the motor temperature and RPM being used as crisp inputs to the fuzzy logic controller with appropriate membership function definitions. The fuzzy logic was designed and simulated using the Fuzzy Lite and Proteus software. It was implemented as firmware written in C++ programming language being executed on the PIC16F877A microcontroller. The results gotten from the simulations and implementation were in concordance as variations in motor temperature influenced motor speed. Triangular method used in this work was compared with Bell shape method used in previous work to ascertain its contribution to knowledge and also discovered that triangular method is more precise in its result.