Comparison between the Effects of Different Types of Membership Functions on Fuzzy Logic Controller Performance
Omar Adil, Mumtaz Ali, Aous Y. Ali, Balasem Salem Sumait · 2015
Membership functions (MFs) are the building blocks of fuzzy set theory, i.e., fuzziness in a fuzzy set is determined by its MF. Accordingly, the shapes of MFs are important for a particular problem since they effect on a fuzzy inference system. They may have different shapes like triangular, trapezoidal, Gaussian, etc. The only condition a MF must really satisfy is that it must vary between 0 and 1. In this paper, a straightforward approach for designing a fuzzy logic based controller is presented to evaluate the effect of membership function in fuzzy logic controller, and presents the performance comparison of fuzzy logic controller with three different types of membership function. An attempt has been made to develop a fuzzy based control system for Antenna Azimuth Position control. This was done using Matlab/Simulink module