高速永磁发电机冷却流道结构双维度连续量子蚁群优化的温度场计算

Analysis on Temperature Fields in HSPMG With Grooves Two Dimensional Optimal Designed by Continuous Quantum Ant Colony Optimization

以1台117kW高速永磁发电机为例,通过温度场计算分析和连续量子蚁群优化,对其冷却系统进行了优化设计研究。基于电磁分析确定的电机额定负载运行时的损耗分布,建立了电机内三维温度场分析模型,通过流体场与温度场耦合传热分析,得到了定子冷却流道内流体散热系数和温度的变化规律,并确定了电机全域三维温度分布。提出了轴向不等截面冷却通道结构,使电机内温度分布趋于均匀,并研究了流道高度和通道截面变化位置对电机内温度分布的综合作用影响。采用连续量子蚁群优化算法,建立了双目标函数双维度变量的流道优化设计数学模型,通过算法优化设计得到了定子绕组最高温度和轴向温差均为最小的流道结构方案。

In this paper, a 117 kW high speed permanent magnetic generator （HSPMG） was studied, and its cooling system was optimal investigated through thermal analysis and the continuous quantum ant colony optimization. Based on the determined losses distributions from the electromagnetic analysis, the analysis model for 3D temperature field analysis was established. Through the fluid-thermal analysis, the variations of heat transfer coefficients and temperatures of fluid in stator grooves along the axial direction were obtained, and so as to the 3D whole region temperature distribution in HSPMG under rated condition. Based on this, a new cooling systems with variational cross section, to made temperature distribute more evenly in HSPMG, was proposed, and the influences of groove height and the axial variation position on HSPMG temperature distributions were studied. Based on the continuous quantum ant colony optimization, a mathematical optimization model with dual objective functions and two dimensional variables for stator slots grooves optimal design was proposed, and a groove structure could make both the windings axial largest temperature and the axial temperature difference were the minimum ones was obtained.