Invasive Weed Optimization Algorithm for Tuning Transitioning from Type-1 to Interval Type-2 Fuzzy Logic Controller for Boost DC-DC Converters
Ahmed Bennaoui, Slami Saadi, Aissa Ameur · Journal Européen des Systèmes Automatisés · 2020
Some studies tried to make transition from Type-1 to interval Type-2 membership functions, but they get the problems of choosing the footprint uncertainty size in the Interval Type-2 Membership Functions.In this paper, our objective is to employ two optimization methods: Invasive Weed Optimization (IWO) and Particle Swarm Optimization (PSO) for tuning the Transitioning from Type-1 To Interval Type-2 Fuzzy Logic Controller for Boost DC-DC Converters and compare their performances.Also, we will discuss the effects of the PID values in the operation of transition from Type-1 to interval Type-2 fuzzy logic Controller for Boost DC-DC Converters.The simulation results show IWO optimization methods is helpful to Tuning the Transitioning from Type-1 To Interval Type-2 Fuzzy Logic Controller for Boost DC-DC Converters.Moreover, when we tune both PID values and the FOU size in T2-MFs of Interval Type-2 Fuzzy Logic PID-controller, we will get the best performance for interval Type-2 Fuzzy Logic PID-controller for Boost DC-DC Converter.To sum up; the optimal footprint of uncertainty (FOU) size in interval Type-2 membership functions, they have an essential role and good effect in the performance of Interval Type-2 fuzzy logic Controller for Boost DC-DC Converters.