基于遗传算法的振动压路机智能压实控制规则优化

Yi Zhang, Jun Zhang, XingZu Shu, Lei Guo, Yong Shi, XinBo Liu
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引用次数: 9

摘要

压实度是决定振动压路机工作质量的关键指标,压实度的智能控制是压路机的关键和难点技术。为了提高压实效果和自动控制的智能化,构建了基于CAN总线的智能控制系统,采用遗传算法对控制器中的模糊控制策略进行优化。结果表明:碾压机压实控制的自适应、自学习能力得到了提高,压实效果优于以前。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Intelligent Compactness Control Rule of Vibratory Roller Based on Genetic Algorithm Method
Compactness is the key index to determine the work quality of vibratory roller, the intelligent control of compactness was the key and difficult technology for roller. In order to improve the compaction effect and the intelligence of automatic control of roller, an intelligent control system was constructed based on CAN bus, GA method was used to optimize the fuzzy control strategy in the controller.The result indicated that the self-adaptive and self-study ability of compaction control of roller was improved, the compaction effect was better than before.
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