Automatic access control method of PLC stacker crane based on GA optimization algorithm

Xiao-ling Liu
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Abstract

At present, car ownership is expanding, and parking facilities are insufficient. This problem has plagued people’s lives and hindered the development of cities. The stereo garage has become the main way to solve the parking problem. But the existing stereo garage is low in intelligence and low in vehicle entry efficiency. Therefore, in this study, a new vehicle entry strategy for the road stacking stereo garage is designed. GA algorithm is innovatively improved and applied to vehicle strategy optimization. By taking the dual objective function as the fitness function of the algorithm, the access strategy is optimized. Using MATLAB software to simulate and verify each access strategy and its improvement effect. This study provides guidance and data support for seeking the best vehicle access strategy. It has good practical application value for vehicle access in 3D garage.
基于GA优化算法的PLC堆垛机自动门禁控制方法
目前,汽车保有量不断扩大,停车设施不足。这个问题困扰着人们的生活,阻碍了城市的发展。立体车库已成为解决停车问题的主要方式。但现有的立体车库智能化程度较低,车辆进入效率较低。因此,本研究设计了一种新的道路堆垛立体车库车辆进入策略。对遗传算法进行了创新改进,并将其应用于车辆策略优化中。以对偶目标函数作为算法的适应度函数,对访问策略进行优化。利用MATLAB软件对各接入策略及其改进效果进行了仿真验证。该研究为寻求最佳车辆接入策略提供了指导和数据支持。它对三维车库的车辆存取具有良好的实际应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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