以天璇Ⅲ无人机作为飞行平台,设计了无人机遥感载荷存储设备，针对在测量过程中存在磁力仪误差和载体磁干扰的问题，提出了基于粒子群优化的磁场测量误差补偿方法。以三轴磁力仪测得的数据作为系统输入，利用粒子群算法对磁干扰补偿模型进行参数求解，得到目标信号磁场数据后，以光泵磁力仪测量的地磁场作为真实标量值进行对比。实验结果表明，采用粒子群优化的磁场测量误差补偿方法具有较高的补偿精度和一定的工程应用价值。

A UAV remote sensing load storage device was designed by taking a certain type of UAV as the flight platform. Considering the problems of magnetometer errors and carrier magnetic interference in measurement, we proposed a method for magnetic field measurement error compensation based on Particle Swarm Optimization (PSO). The data measured by the triaxial magnetometer was taken as the system input, and PSO was used to solve the magnetic interference compensation model. After the magnetic field data of the target signal was obtained, it was compared with the geomagnetic field data obtained from the optical pump magnetometer, which was taken as the real scalar value. The experimental results showed that the PSO based error compensation method in magnetic field measurement has higher compensation precision and certain value for engineering application.