开关磁阻电机多目标协同优化设计

Multi-objective collaborative optimal design of switched reluctance machine

针对开关磁阻电机存在多变量、强耦合、高非线性等特点以及传统方法较难快速而准确地获得其最优设计方案的问题,引入了多目标协同优化设计方法。对协同优化算法进行了改进,提出了新型动态松弛因子法以及最优保留策略,在保证算法收敛性的同时,提高了其收敛速度及精度。以效率及转矩脉动为目标,利用改进型协同优化算法对开关磁阻电机的初始设计方案进行了优化,得到了关键几何尺寸和控制参数的全局最优取值。针对优化方案功率密度和热负荷较高的问题,设计了一个定、转子双水冷系统,并通过集中参数热网络模型证明了电机主要部位温度在工程允许范围之内。分析结果表明,改进型协同优化算法的引入达到了提升电机效率并降低其转矩脉动的目的。

Switched reluctance machine（ SRM） has multi-variable, strong coupling and highly nonlinear characteristics, and it’ s not easy to find optimal design scheme quickly and accurately by traditional methods. To solve this problem, multi-objective collaborative optimal design method was introduced. Col-laborative optimization algorithm was improved, and novel dynamic relaxation factor method and elitist strategy were proposed to enhance the convergence speed and accuracy of the algorithm with guarantee of its convergence. Improved collaborative optimization algorithm was used to optimize the efficiency and torque ripple of the initial design scheme of SRM, and the global optimum values of key geometric dimen-sions and control parameters were obtained. According to the high power density and thermal load of the optimal scheme, a stator and rotor dual water cooling system was designed. By using lumped parameter thermal network model, the temperatures of some important parts of SRM were verified to be acceptable for practical applications. The results of analysis show that application of improved collaborative optimiza-tion algorithm can increase the efficiency of the machine and decrease its torque ripple simultaneously.