TABU 算法在永磁起动机电磁场逆问题中的应用

The Application of Tabu Algorithm to the Optimization of Automobile Permanent Magnet Starter Motor

特殊的磁极结构，使得带辅助极普通永磁起动机具有普通永磁起动机所不能比拟的优点—大制动转矩、高空载转速和低永磁材料用量。但主极、辅助极极弧系数配合直接影响磁极材料消耗，最佳配合的选择是目前需要解决的难点和首要问题。采用全局优化技术，在保证性能的前提下，将磁极材料消耗降至最低，具有重要意义。为此，本文建立了带辅助极永磁起动机磁极优化的数学模型，将全局优化算法—ＴＡＢＵ算法应用于这一电磁场逆问题中；实际应用表明，本文提出的方法是正确、有效的。

Due to the special construction of magnetic pole, the permanent magnet starter motor with auxiliary pole has the advantages of high starting torque, high no-load speed, and low cost of magnetic pole, as compared to the ordinary permanent magnet starter motor. The combination of pole-arc coefficients for the main pole and the auxiliary pole affects directly the cost of magnetic pole. The determination of the best combination is a difficult point to be solved. It is an important problem to optimize the cost of magnetic pole to minimum by using the global optimization technic on the premise of satisfying the performance requirements. In this paper, TABU algorithm is successfully applied to the magnetic pole optimization, the validity are testified by the application to the optimization of existing products.