Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2005.07d
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- Pages.2714-2716
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- 2005
Design of Adaptive Fuzzy Logic Controller for Crane System
크레인 제어를 위한 적응 퍼지 제어기의 설계
Abstract
In this paper, we designed the adaptive fuzzy logic controller for crane system using neural network and real-coding genetic algorithm. The proposed algorithm show a good performance on convergence velocity and diversity of population among evolutionary computations. The weights of neural network is adaptively changed to tune the input/output gain of fuzzy logic controller. And the genetic algorithm was used to leam the feedforward neural network. As a result of computer simulation, the proposed adaptive fuzzy logic controller is superior to conventional controllers in moving and modifying the destination point.
Keywords