摘要
飞行器光轴质量监控过程中,主要通过标准遗传算法完成光轴参数优化求解,易出现过早收敛和停滞现象的问题,导致校准优化后光轴偏移量依旧较大。为了降低飞行器光轴偏移量,提出基于改进遗传算法的飞行器光轴自动校准优化方法。以牛顿环干涉条纹为依据,采用正交实验方法实现光轴平行性自动校准处理,获取合理的光轴校准参数取值区间。针对飞行器光轴系统定义一个坐标系,在其中分析照准轴误差、经轴误差、纬轴误差和光轴指向误差,以最小光轴平行度综合误差为目标构建光轴自动校准优化目标函数。采用自适应交叉、变异概率改进遗传算法,对优化目标函数进行迭代求解,获取最佳光轴校准参数,实现飞行器光轴自动校准优化。实验结果表明,该方法优化处理后,飞行器高温光轴和低温光轴的偏移量仅为0.34 mrad、0.296 mrad,证明该方法降低了飞行器光轴偏移量,满足了飞行器光轴性能提升要求。
In the process of aircraft optical axis quality monitoring,the standard genetic algorithm is mainly used to optimize the optical axis parameters,which is prone to premature convergence and stagnation,resulting in a large optical axis offset after calibration optimization.In order to reduce the offset of aircraft optical axis,an automatic calibration optimization method of aircraft optical axis based on improved genetic algorithm is proposed.Based on the interference fringes of Newton s ring,the automatic calibration of optical axis parallelism is realized by orthogonal experiment method,and the reasonable range of optical axis calibration parameters is obtained.A coordinate system is defined for the aircraft optical axis system,in which the aiming axis error,warp axis error,weft axis error and optical axis pointing error are analyzed,and an optical axis automatic calibration optimization objective function is constructed with the minimum optical axis parallelism comprehensive error as the goal.The adaptive crossover and mutation probability improved genetic algorithm is applied to iteratively solve the optimization objective function,and the optimal optical axis calibration parameters are obtained to realize the automatic calibration and optimization of aircraft optical axis.The experimental results show that the offset between the high-temperature optical axis and the low-temperature optical axis of the aircraft is only 0.34 mrad and 0.296 mrad after the optimization of this method.The above data prove that this method reduces the optical axis offset of the aircraft and meets the requirements of improving the optical axis performance of the aircraft.
作者
武丽丽
吴龙飞
毛庆松
蒋金
WU Lili;WU Longfei;MAO Qingsong;JIANG Jin(Shanghai Spaceflight Precision Machinery Institute,Shanghai 201600,China)
出处
《空间电子技术》
2024年第5期93-99,共7页
Space Electronic Technology
关键词
改进遗传算法
飞行器
光轴
自动校准
误差分析
优化求解
improving genetic algorithm
aircraft
optical axis
automatic calibration
error analysis
optimization solution