摘要：In this article, a simple genetic algorithm is used to solve an optimization problem that minimizes an objective function, with the purpose of obtaining the rule base of a fuzzy controller. The plant under consideration is an experimental direct current servosystem. The variable to be controlled is the load angular position. The objective function used here is the criterion IAE (Integrated Absolute Error). The genetic algorithm operates with populations who respond to consequents of the rule base.
关键词：Feedback systems;fuzzy control;genetic algorithms;linear systems
