Abstract
In contrast to existing methods like solving sensitivity matrices or sensor structure optimization decoupling, this paper proposes a three-dimensional electric field separation technique centered on the PSO-GA fusion algorithm, to fully utilize the rapid integration property of the particle swarm optimization algorithm and the global search capability of the genetic algorithm to improve the decoupling accuracy and optimization efficiency. The interdimensional coupling interference problem arises during the course of three-dimensional electric field measurement in space. Furthermore, a correction coefficient-based anti-accumulated charge interference technique is suggested to lessen the impact of the accumulated charge on the sensor surface on the accuracy of 3D electric field measurements. The fitness function and the correction coefficients are modified, and several experimental measurements are made to confirm the viability of the suggested approach under complex inter-dimensional coupling. With a mean square error of 0.002 and an absolute error of 0.003 in the decoupled measurements, the experimental results demonstrate the effectiveness of the decoupling method in challenging measurement environments. This greatly enhances the 3D electric field sensors’ decoupling accuracy and optimization efficiency and opens up new application and technical support opportunities for monitoring and early warning systems in related fields.
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