电力行业旋翼无人机智能遗传算法参数优化  

The UAV parameter optimization based on genetic algorithm in power sector

作　　者：金钊 张江[1] 张帆 杨佳艺 JIN Zhao;ZHANG Jiang;ZHANG Fan;YANG Jiayi(Inner Mongolia Electric Power Research Institute,Hohhot 010020,China;Baotou Power Supply Bureau,Baotou 014030,China)

机构地区：[1]内蒙古电力科学研究院,内蒙古呼和浩特010020 [2]包头供电局,内蒙古包头014030

出　　处：《电子设计工程》2021年第7期105-109,共5页Electronic Design Engineering

摘　　要：随着国内国际电网行业智能化、无人化、信息化的大力发展,无人机日渐成为电网日常工作及电力巡线工作的首选生力军。内蒙古电力科学研究院结合内蒙古当地风沙大及温差大等气候特点,以减少人力及物力资源浪费为宗旨,以提升无人机飞行性能为突破口,对无人机飞行性能进行优化。针对此类问题,通过改进传统遗传算法来提高遗传算法在无人机姿态控制中的适应性,并提高遗传算法在旋翼无人机飞行过程中情况改变而参数实时改变的自适应能力,增强旋翼无人机飞行过程中的可操作性,从而大幅提升旋翼无人机在极端巡检工作条件下的工作效率。为验证文中算法的有效性,通过Matlab对旋翼无人机姿态控制器及PID控制器进行建模测试。从实验结果可知,验证算法具有较高的鲁棒性及实时性,适合无人机在多变的环境中应用。With the development of intelligentize,unmanned control,informatization in power sector UAV(Unmanned Aerial Vehicle)is going to become the first troops in power inspection and daily work.As to the extreme climate in Inner Mongolia,and the ideal of cost⁃reduction,UAV and the attitude control are used to handle these problems.This paper combines the PID controller with the GA(Genetic Algorithm)model to improve the adaptive of attitude control,and improve the adaptive in complex environment,enhance the UAV operability.The purpose of this research is to strength the working efficiency in power sector.In order to prove the theory,Matlab is used to similate the controller of drone and the controller of PID.From the result,it shows that this algorithm has great robustness and real⁃time,can adapt itself to complex environment.

关 键 词：电力巡检 无人机 PID 遗传算法 

分 类 号：TN709[电子电信—电路与系统]