啮合式磁阻电动机结构参数的优化设计  

Structural Parameters Design Optimization of the Geared Reluctance Motor

作　　者：吕新明[1] 孙汉旭[1] 贾庆轩[1] 

机构地区：[1]北京邮电大学自动化学院,北京100876

出　　处：《机械工程学报》2013年第4期184-192,共9页Journal of Mechanical Engineering

基　　金：国家自然科学基金(51175048);教育部科技创新工程重大项目培育资金(708011)资助项目

摘　　要：研究啮合式磁阻电动机(Geared reluctance motor,GRM)结构参数的设计原则和自动优化问题。在文献[11]给出的GRM参数化模型基础上,通过研究平均转矩随结构参数改变而呈现的变化趋势,提出各个参数的设计原则。为减少人工设计工作量和寻找全局最优点,提出基于遗传算法的GRM自动优化设计方法,充分考虑优化过程中各参数的约束条件,以及各参数之间的互约束关系,详细研究摆线齿轮的强度约束、齿形约束和齿数圆整问题。然后利用提出的优化算法对一台样机进行优化设计,使平均转矩提高了35%左右。最后用有限元法对优化后的GRM转矩特性进行了验证,结果表明优化设计的理论转矩比有限元验证值误差在3%以内,证明了优化算法的正确性。The structural-parameter design principle and the autmatic optimization method of the geared reluctance motor（GRM） are studied, on the basis of the GRM pararneterized model given in reference. By study on the average-torque change-trend according with structural parameters, design principles of parameters are put forward. To reduce artificial design work and search the global advantages, the automatic optimization design method of the GRM based on the generic algorithm is proposed. The constraint conditions of parameters and the mutual constraints between parameters are disgussed. The strength constraint, tooth-shape constraint and the teeth-number rounding of the cycloid gear are studied in detail. Then a prototype is optimized by the algorithm, which make the average torque increased by 35%. At last, the torque characteristic of the optimized GRM is veryfied by the finite element method （FEM）. The results show that the error between the optimized theoretical torque and the FEM validation value is less than 3%, which proves correctness of the optimization algorithm.

关 键 词：啮合式磁阻电动机 优化设计 遗传算法 

分 类 号：TM35[电气工程—电机]