Research on the Directional Measurement Method of Three-Dimensional Electric Field Intensity Components of the...

Due to the difficulty of achieving absolutely precise coaxial installation of measurement components, a coaxial error will occur between the measurement axis of the sensor and that of the electronic compass when conducting the measurement of the airborne atmospheric electric field intensity based on the geographic coordinate system under the airborne mode of unmanned aerial vehicles. This error leads to less satisfactory measurement accuracy of the atmospheric electric field intensity components based on the geographic coordinate system. In this study, the angle between the measurement axis of the sensor and that of the compass is set as the parameter to be identified, and a modified model for three-dimensional electric field orientation decomposition based on geographic coordinates is constructed. In view of the characteristics of the nonlinear equations of this model, an algorithm based on tansig-Nonlinear Dynamic Inertia Weight Adaptive Particle Swarm Optimization (NDIWAPSO) is proposed to solve the modified model, successfully addressing the problem of insufficient measurement accuracy of the electric field intensity components in the geographic coordinate system caused by the coaxial error. The experimental results show that the parameters of the three-dimensional electric field orientation decomposition modified model can be accurately identified by the algorithm proposed in this paper, improving the measurement accuracy of the atmospheric electric field intensity components based on the geographic coordinate system and laying a necessary foundation for lightning warning.