Design of Crane Controller using GA & Fuzzy Control

유전 알고리즘과 퍼지제어기를 이용한 크레인제어기의 설계

The goal of crane control system is transporting heavy objects to a target position as fast as possible without rope oscillation. This paper presents a GA-based fuzzy logic controller for crane system. GA is going to decide membership functions, instead of an expert. In this paper, The centers and widths of the membership function of the fuzzy sets defined over the input space, the orders and parameters of subsystems in the consequence parts are adjusted by a genetic algorithm. The effectiveness of the proposed method is verified by simulation.