Temperature Fuzzy Control System with Mamdani Controller

Implementing a fuzzy logic controller with Iookup table (FLC-LT) for a qualified operator is an easy task. Good performance for a fuzzy control system with FLC-LT are difficult to achieve due to the reduced number of fuzzy control values that can be introduced in a lookup table. Starting from the authors' previous achievements, regarding the implementation of FLC-LT with linear interpolation in two lookup tables, one for a coarse control and another one for a fine control, the paper presents a method of increasing the fuzzy control performance by introducing in the PI-like fuzzy control algorithm a fuzzy coefficient to adjust the output command change of the FLC-LT. The method is validated by the best performance of a temperature fuzzy control system.