基于阻尼粒子群优化的地磁场测量误差补偿

针对三轴磁力仪在磁场测量过程中的磁干扰问题,提出了基于阻尼粒子群优化算法的磁测误差补偿方法。建立了磁力仪误差和载体磁干扰的一体化误差补偿模型,分别采用阻尼粒子群算法和Two-step方法对非线性观测模型进行参数估计。以质子磁力仪数据作为真值,借助无磁转台充分连续采样,实验结果显示,阻尼粒子群算法对于磁场测量误差具有良好的抑制作用。补偿后,由阻尼粒子群算法和Two-step方法得到的均方根误差分别由1 025.7降至60.304 4、581 n T。结果表明,阻尼粒子群算法取得了更好的补偿效果,补偿精度提高了至少一个数量级,为磁场测量误差提供了一种非常有效的补偿方法。

Compensation of geomagnetic field measurement error based on damped particle swarm optimization

Aiming at the magnetic interference problem of three axis magnetometers in magnetic field measurement process, a new magnetic field measurement error compensation method based on damped particle swarm optimization (DPSO) algorithm is proposed. A comprehensive error compensation model for magnetometer error and geomagnetic interference field is established. DPSO algorithm and two step method are used to carry out the parameter estimation work of nonlinear observation model, respectively. The scalar value of the proton magnetometer is taken as the true value and a non magnetic turntable is employed in the experiment for continuous sampling. Experiment results demonstrate that the DPSO algorithm has good suppression capability to magnetic field measurement error. After compensation, the root mean square errors (RMSE) are reduced from 1 025.7 to 60.304 4 and 581 nT for DPSO algorithm and two step method, respectively. The results indicate that better compensation performance is achieved with DPSO algorithm, and the compensation accuracy is improved at least by one order of magnitude, which provides an efficient compensation method for magnetic field measurement error.