Abstract:For the non-orthogonality between axes, different scale factors and bias error of the fluxgate sensor and platform magnetic interference, this study present an integrated calibration method with improved particle swarm optimization algorithm. Firstly, the above-mentioned errors are discussed in detail and the mathematical model is established. Then, the improved particle swarm optimization algorithm is used to estimate the error parameters. Two simulation examples are designed to verify the effectiveness of the proposed method. The simulation results show that after calibration, the measurement error caused by the system error and platform magnetic interference can be reduced, and the measurement accuracy has been improved. Compared with the traditional particle swarm optimization algorithm, the proposed method has higher solution accuracy and higher robustness against noise.