混沌粒子群混合算法对微型永磁电机的优化设计

在电机的设计中,常常需要通过优化设计得到合理的电机结构尺寸和参数.电机的设计问题实质上是一种带约束的复杂的非线性连续函数优化问题.要得到一个满意的优化结果不仅要求算法具有较高的精度,而且要有快的收敛速度.提出一种新的混合算法对永磁电机的尺寸和整体结构进行优化设计.将混沌算法和粒子群算法相结合,以微型永磁电机为例,对槽形等多个变量进行优化,结果证明了算法的有效性和快速性,适合于同类问题求解.

The rational structure and size of the electrical motor can be generally obtained by means of the optimal design.However,the design of the electrical motor is a complicated nonlinear constrained(optimization) problem.Consequently,for achieving a satisfying optimization results,higher(accuracy) and faster convergence speed for the optimization method are required.A hybrid algorithm based on chaos and Particle Swarm Optimization(PSO) was proposed to design the slots and main size of permanent magnet machine.The result demonstrates that the proposed method is efficient and valid to solve the related(problems).

辽宁省科学技术基金资助项目(20031023)