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基于响应面的三自由度超声电机定子设计优化 被引量:2

Design Optimization of Three Degrees of Freedom Ultrasonic Motor Stator Based on Response Surface Model
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摘要 针对超声电机定子设计过程存在的定子设计模态与干扰模态分离不彻底、定子振动幅度小、定子振动时局部内应力较大等问题,提出了基于响应面模型的电机定子设计优化方法。首先,通过选取合适的定子设计尺寸作为变量,拉丁超立方抽样方法在设计空间内选取样本点;其次,对各样本点的组合得到的定子尺寸结构进行有限元分析,得到定子的模态和谐响应值从而建立定子的响应面模型;然后,利用遗传算法在响应面模型的基础上对定子进行优化;最后,使用有限元软件对优化前后的定子进行建模计算验证了优化结果的正确性。 The stator design optimization method based on the response surface model is proposed to solve various problems in the design and optimization of the stator structure of the motor.They include that the stator design mode of the stator is not completely separated from the disturbance mode,the stator vibration amplitude is small and the stator vibration is large in the local internal stress.First,the sample point is selected in the design space for the Latin hypercube sampling method when setting the stator design size as a variable.The stator modal and harmonious response value is obtained by the finite element analysis of the stator size structure obtained by the combination of each sample point,and the stator response surface model is established.Then,the remains are used.The transmission algorithm optimizes the stator on the basis of the response surface model.Finally,the finite element software is used to model the stator before and after the optimization to verify the correctness of the optimization results.
作者 牛子杰 孙志峻 崔永杰 NIU Zijie;SUN Zhijun;CUI Yongjie(College of Mechanical and Electronic Engineering, Northwest Agriculture and Forestry University Xi'an, 712100, China;State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics Nanjing, 210016, China)
出处 《振动.测试与诊断》 EI CSCD 北大核心 2019年第5期1089-1097,1138,共10页 Journal of Vibration,Measurement & Diagnosis
基金 中央高校基本科研业务费专项资金资助项目(2452017134) 中国博士后科学基金资助项目(2017M613217) 国家自然科学基金资助项目(51775274) 博士科研启动费资助项目(2452016158)
关键词 响应面模型 遗传算法 拉丁超立方抽样 结构优化 response surface methodology(RSM) genetic algorithm Latin-Hypercube sampling structural optimization
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