Optimal Design of Fuzzy Controllers Using the Multiverse Optimizer

Abstract

In this paper we study the application of metaheuristics in optimization of fuzzy logic controllers, mainly with the multi-verse optimizer and the comparison with other algorithms like PSO. For the main application of the study, we use a common control problem which is the temperature control in a shower, where its control objective is to achieve and maintain a desired temperature and flow, this by controlling the opening and closing speed of the cold and hot water valves. The fuzzy system that controls this problem uses two inputs and two outputs, where the optimization occurs over the antecedent and consequent membership functions, this by only changing the parameters of the main points in every membership function. The objective of this study is to observe the behavior of the multi-verse optimizer over control systems and its promising uses on more complex fuzzy control systems.