Neural Network Based UAV Optimal Control Algorithm for Energy Efficiency Maximization

A. Korneyev, M. Gorobetz
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引用次数: 1

Abstract

One of the important problems in the field of unmanned autonomous vehicles (UAV) is energy efficiency. By the results of this research authors contribute to development of energy efficient control system of the UAV. Energy consumption of the UAV is optimized by implementation of neural network based algorithm used to control electric drive. Additional UAV optimization controller is proposed for energy efficient flight control. Neural network based structure extends the adaptive search algorithm allowing significantly reduce time to find out the value of optimal control signals and maximize energy efficiency of the UAV.
基于神经网络的无人机能效优化控制算法
能源效率是无人驾驶汽车领域的重要问题之一。本文的研究成果为开发高效节能的无人机控制系统做出了贡献。采用基于神经网络的电驱动控制算法对无人机的能耗进行优化。为了实现高效节能的飞行控制,提出了附加的无人机优化控制器。基于神经网络的结构扩展了自适应搜索算法,大大减少了寻找最优控制信号值的时间,最大化了无人机的能效。
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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