电动机试验数据拟合算法的研究与实现  

Research and Implement of Data Fitting Algorithm of Motor Testing Data

作　　者：尹文怡[1] 范通让[1] 

机构地区：[1]石家庄铁道学院计算机与信息工程分院,石家庄050043

出　　处：《微电机》2009年第3期93-96,共4页Micromotors

基　　金：河北省自然科学基金项目(F2006000101)

摘　　要：电动机数据处理问题在电动机设计中占有重要的地位,对其进行系统的分析具有重要的意义。在数据处理中,通常采用多项式的最小二乘法或根据假设的函数关系来拟合性能曲线;但当多项式的次数较高时,方程组易出现病态等问题。为解决这一问题,采用正交函数作最小二乘拟合的方法绘制电动机性能曲线。实践证明,该方法简明,结果准确,可应用于测量数据的处理和研究。The processing of experimental data plays an important role in the design of motor, hence it is necessary to research on the fitting problem systemically. In data processing, the least square method of polynomial and the method based on the hypothetical function was usually used to fit electromotor characteristic curves. However, the equations wouled be in morbidity with the polynomial power increasing. For this reason, the orthogonal function, which was applied for least square fitting of motor characteristic curve, would be researched in this thesis to solve the problem.

关 键 词：电动机 试验数据 曲线拟合 数据拟合 最小二乘法 

分 类 号：TM306[电气工程—电机]