An Experiment on How GA to Reject Immeasurable Disturbances in Control System

摘要：

GA is a general-purpose search algorithm that is based on the mechanics of natural selection and genetics. Its easy for GA to deal with signals in control systems because of the property of non-input data, which results in, firstly, that if the disturbance range, whether measurable or not, was estimated, GA would compensate them in feedforward form so that an experiment using computer simulation and entering different disturbances for comparison was designed. Although the simulation curves are poor, the results are accurate in theoretical degree and give a proof that GA using as the compensator in feedforward form is feasible.

关键词： genetic algorithm experiment overcome Immeasurable disturbances

作者: Kang Jian Zhang Zhenyou

作者单位: College of Computer and Automatic Control Hebei Union University Department of Information &Technolo College of Computer and Automatic Control Hebei Union University Tangshan, Hebei, China

会议类型: 国际会议

会议名称: 2010 International Conference on Future Information Technology(2010年未来信息技术国际会议 ICFIT 2010)

会议地点: 长沙

会议语种:英文

页码: 876-878

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）