Abstract
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.
Published Version
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