Calibration a Magnetometer Based on Multiple Population Genetic Algorithm
It is imperative that the magnetometer is properly calibrated for sensor errors caused by the bias,scaling factors and non-orthogonality.It is difficult for the three-axis magnetometer to be used directly to measure the magnetic field magnitude.In this paper,we present a method based on Multiple Genetic Algorithm that can be used to estimate calibration model parameters.The Genetic Algorithm put the parameters of the calibration model as the evolutionary population; According to the fitness,the poor individual is eliminated step by step and the optimal individual is obtained after crossing and mutation; The optimal parameter estimation corresponding to optimal individuals is achieved.In the practical application of Genetic Algorithm to estimate parameters of calibration model,premature situation is fond.To avoid this situation,Multiple Genetic Algorithm is used to solve this problem.It is effective for Multiple Genetic Algorithm to estimate parameters of calibration model overcoming the premature.The simulation and experiment show that the method based on Multiple Genetic Algorithm can converge steadily and can achieve high estimation precision.
three-axis magnetometer calibration model multiple genetic algorithm
Pang Xueliang Lin Chunsheng
Department of Weapon Engineering Naval University of Engineering China
国际会议
重庆
英文
840-844
2015-03-21（万方平台首次上网日期，不代表论文的发表时间）