2008 Eighth International Conference on Hybrid Intelligent Systems
Hybrid Genetic-Fuzzy Optimization of a Type-2 Fuzzy Logic Controller
September 10-September 12
ISBN: 978-0-7695-3326-1
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.
Index Terms:
Type-2 Fuzzy Control, Genetic Algorithm, Optimization, Backlash
Citation:
Nohe Ramon Cazarez-Castro, Luis T. Aguilar, Oscar Castillo, "Hybrid Genetic-Fuzzy Optimization of a Type-2 Fuzzy Logic Controller," his, pp.216-221, 2008 Eighth International Conference on Hybrid Intelligent Systems, 2008