An Experimental Study on an Optimal Controller for the Overhead Crane Using the Genetic Algorithm

유전자 알고리즘을 이용한 천정크레인의 최적제어기에 실험적 연구

  • Published : 1999.01.01

Abstract

This paper presents a HGA-based(hybrid genetic algorithm) optimal control strategy to control of the swing motion and the transfer of the overhead crane. The objective is to achieve the regulation of the fast swing motion or fast position control. The controller is based on the state feedback. The HGA-based optimal algorithm is applied to find optimal gains of the controller. Computer simulation and experiments were performed to demonstrate the effectiveness of the proposed control scheme.

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