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The design of AGV's dynamic wireless power transmission power supply based on Adaptive Weight Value Multi-objective Genetic Algorithm

机译:基于自适应重量值多目标遗传算法的AGV动态无线电力传输电源设计

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AGV is the application of modern factory intelligence and automation.With the development of wireless power transmission(WPT),its transmission efficiency and stability are getting higher and higher.However,from static charging to dynamic power supply,the cost of technology implementation has increased significantly.This paper proposed a method to supply power to logistics AGV by intermittent segment,established the binary coverage model according to the power coverage distance,and designed an Adaptive Weight Value Multi-objective Genetic Algorithm(AWVMOGA)for this model to Optimizing the path design of sectional power supply.The influence of three weight value adaptive methods on the optimization results is analyzed,the effectiveness of the proposed method is analyzed and verified through case simulation.
机译:AGV是现代工厂智能和自动化的应用。随着无线电力传输(WPT)的发展,其传输效率和稳定性越来越高。然而,从静电充电到动态电源,技术实现的成本增加了 显着。本文提出了一种通过间歇段向物流AGV提供电力的方法,根据电源覆盖距离建立了二进制覆盖模型,并为该模型设计了自适应权重的多目标遗传算法(AWVMoGA)以优化路径 分析了三种重量值自适应方法对优化结果的影响,通过案例模拟分析了所提出的方法的有效性。

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