摘要
针对基于有限元法(FEM)的常规优化方法存在计算量大、耗时长的问题,提出一种磁场解析模型与遗传算法相结合的轴向磁通永磁电机(AFPMM)多目标优化设计方法,该方法能够在保证一定计算精度的前提下快速实现电机的优化设计。首先,将AFPMM从复杂的三维模型等效为二维模型,通过子域法得到了电机的磁场解析模型,利用麦克斯韦张量法求出电机的电磁转矩;然后,将解析计算结果与FEM计算结果进行对比,验证了该磁场解析模型的准确性;最后,该方法以电磁转矩平均值和电机有效成本为优化目标,将解析模型与遗传算法相结合进行全局优化,以获取具有更优电磁转矩与有效成本的设计方案。优化结果表明,优化后AFPMM的电磁转矩平均值增大了11.91%,有效成本降低了9.81%,验证了解析模型与遗传算法结合的优化方法的有效性与实用性。
Aiming at the problems of large amount of calculation and long time consuming in the conventional optimization method based on finite element method(FEM),a multi-objective optimization design method of axial flux permanent magnet motor(AFPMM)was proposed,which combines the magnetic field analytical model and genetic algorithm.Optimization design of motor was realized on the premise of certain calculation accuracy.Firstly,the complicated three-dimensional model of AFPMM is equivalent to two-dimensional model.The magnetic field analytical model of the motor was established by sub-domain method,and the electromagnetic torque was calculated by Maxwell tensor method.Then,the accuracy of the analytical model was verified by comparing the analytical results with the FEM results.Finally,taking the average electromagnetic torque and the effective cost of the motor as the optimization objectives,the analytical model and genetic algorithm were combined to optimize the AFPMM globally to obtain the design scheme with better electromagnetic torque and effective cost.The results show that the average electromagnetic torque of the optimized AFPMM increases by 11.91%and the effective cost decreases by 9.81%,which verifies effectiveness and practicability of the proposed optimization design method.
作者
佟文明
马雪健
位海洋
吴胜男
TONG Wen-ming;MA Xue-jian;WEI Hai-yang;WU Sheng-nan(National Engineering Research Center for Rare-Earth Permanent Magnet Machines,Shenyang University of Technology,Shenyang 110870,China)
出处
《电机与控制学报》
EI
CSCD
北大核心
2022年第1期39-45,共7页
Electric Machines and Control
基金
国家自然科学基金(51677122)
霍英东教育基金会青年教师基金(171049)
辽宁省百千万人才工程项目。
关键词
轴向磁通永磁电机
磁场解析模型
遗传算法
多目标优化设计
电磁转矩
有效成本
axial flux permanent magnet motor
magnetic field analytical model
genetic algorithm
multi-objective optimization design
electromagnetic torque
effective cost
