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本文阐述了一种推力磁轴承热平衡条件约束的设计参数优化的有效算法。约束包括外载荷、热平衡、电磁匹配和几何条件。系统设计变量为磁铁内环外径、外环内径、槽口深度和安匝数。还对系统参数作了灵敏度分析。一个高速透平主轴用推力磁轴承的应用实例表明:影响轴承承载力的主要因素是安匝数、静态气隙和槽口截面积。受热平衡和几何条件的限制,静态气隙和槽口面积的可调整范围较小,而适当增大绕组匝数和控制电流,可以显著提高承载力。
This paper presents an effective algorithm for the optimization of design parameters of the thrust magnetic bearing thermal equilibrium condition constraints. Constraints include external loads, thermal balance, electromagnetic matching, and geometry. System design variables for the magnet inner diameter, outer diameter, slot depth and ampere-turns. The system parameters also made a sensitivity analysis. A high-speed turbine spindle thrust magnetic bearing application examples show that: bearing capacity of the main factors is the ampere turns, static air gap and notch cross-sectional area. Due to thermal equilibrium and geometrical conditions, the adjustable range of static air gap and notch area is small. Appropriately increasing the number of winding turns and the control current can significantly increase the bearing capacity.