Hybrid Genetic-Fuzzy Optimization of a Type-2 Fuzzy Logic Controller

In this paper a genetic-type-2 fuzzy approach is proposed to optimize the parameters of the membership functions (MFs) of a type-2 fuzzy logic system (FLS) applied to control, we design a chromosome to represent the parameters of the MFs of a preestablished type-2 FLS, design a fitness function and select genetic operators. A case of study is proposed to evaluate the optimization process, this is to achieve the output regulation problem of a servomechanism with backlash. The problem is the design of a type-2 fuzzy logic controller which will be optimized by a GA to obtain the closed-loop system in which the load of the driver is regulated to a desired position. Simulations results illustrate the effectiveness of the optimized closed-loop system.