Parameter Optimization of Magnetic Dipole Model Using Genetic Algorithm

Compared with non-cored coils, it is impossible for analytical functions to accurately model the complex magnetic field in a large working space. Considering the limitation of permanent magnet geometry and magnetic field distribution, a single dipole model is adopted to simplify the calculation. Firstly, the dipole model formula was constructed, and then the measurement code was written by LABVIEW to measure the flux density curve varying with the distance under different voltages. The genetic algorithm was used to optimize the calculation, and the accuracy was above 98%. Finally, the numerical value of the corrected distance d and the relationship formula between magnetization and voltage was solved. In addition, using MATLAB to write binary genetic algorithm and exhaustive method, LABVIEW to write exhaustive method, several methods are discussed and compared, verified the rationality and feasibility of the method.