无人机转偏角测量优化仿真研究

Unmanned Aerial Vehicle Turn Angle Measurement Optimization Simulation Research

为了保证无人机飞行过程中的安全可靠性,需对无人机转角偏移量进行测量。传统的测量方法为了简化计算过程,保证同步性,忽略了无人机飞行中的转角方向偏移误差,以遗传算法进行迭代计算,由于子代不断继承父代的包含误差的基因,导致测量过程存在较大缺陷,提出一种基于改进遗传算法的无人机转角偏移测量方法,分析了无人机转角偏移测量原理,给出遗传算法的一般模型,在此基础上,引入随机方向法,给出选择空间,确定基点,对产生的个体数以及产生的个体进行记录统计,产生一个随机向量,通过判断比较各自的适应值,获取优良的个体,从而有效实现无人机转角偏移量的测量。仿真结果表明,所提方法在增强无人机转角偏移量测量精度及可靠性方面具有很高的优越性。

A turn angle offset measurement method is proposed for unmanned aerial vehicle based on improved ge- netic algorithm. A general model of genetic algorithm is given, a random direction method is introduced to obtain cho- sen space, determine the basis points, record the produced individual number and the individual, so as to produce a random vector. The excellent individuals are obtained by comparing their adaptive values, and the measurement of the deviation angle of the unmanned aerial vehicle （uav） is effectively realized. The simulation resuhs show that the proposed method has high superiority in enhanced precision and reliability.