Implementation of Fuzzy Logic Controller with Different Membership Function Curves
Mardika Tri Wicaksono, Slamet Riyadi · Journal of Physics Conference Series · 2020
Abstract Generally, the applications of power electronic are widely applied in the industrial, household, renewable energy fields, etc. Fuzzy Logic Controller is considered as an effective support control in the application because this implementation is very useful. Fuzzy Logic Controller is more reliable when compared to conventional control systems. This paper provides a Fuzzy Logic Controller based control method to identify the transformation of the membership function curve by using the dsPIC30F4012 microcontroller. In the implementation, the different membership function curves are adopted to obtain the maximum power output. The fuzzification process is needed to convert numerical numbers into fuzzy numbers. The other process is also required to convert the result of fuzzification process, it is called defuzzification process. To obtain the control system performance, the rule is defined in the rule base matrix. The experimental results were done to verify the analysis of Fuzzy Logic Controller.