Invasive weed optimization algorithm for tuning transitioning from type-1 to interval type-2 fuzzy logic controller for boost DC-DC converters

Abstract

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.