计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
6期
255-260
,共6页
永磁同步电机%多新息%随机梯度%收敛性
永磁同步電機%多新息%隨機梯度%收斂性
영자동보전궤%다신식%수궤제도%수렴성
Permanent Magnet Synchronous Motor(PMSM)%multi-innovation%stochastic gradient%convergence performance
永磁同步电机(Permanent Magnet Synchronous Motor,PMSM)具有响应快、高精度、高转矩比等诸多优点。在永磁同步电机系统数学模型基础上,构建系统回归模型,推导得永磁同步电机多新息随机梯度参数辨识算法(MISG),仿真和实时实验结果表明由于MISG算法重复利用可测输入输出信息,较单新息随机梯度算法(SG)有着更好的参数估计收敛性,并且随着新息长度 p的增加及遗忘因子引入,MISG算法辨识效果与最小二乘(RLS)算法接近。
永磁同步電機(Permanent Magnet Synchronous Motor,PMSM)具有響應快、高精度、高轉矩比等諸多優點。在永磁同步電機繫統數學模型基礎上,構建繫統迴歸模型,推導得永磁同步電機多新息隨機梯度參數辨識算法(MISG),倣真和實時實驗結果錶明由于MISG算法重複利用可測輸入輸齣信息,較單新息隨機梯度算法(SG)有著更好的參數估計收斂性,併且隨著新息長度 p的增加及遺忘因子引入,MISG算法辨識效果與最小二乘(RLS)算法接近。
영자동보전궤(Permanent Magnet Synchronous Motor,PMSM)구유향응쾌、고정도、고전구비등제다우점。재영자동보전궤계통수학모형기출상,구건계통회귀모형,추도득영자동보전궤다신식수궤제도삼수변식산법(MISG),방진화실시실험결과표명유우MISG산법중복이용가측수입수출신식,교단신식수궤제도산법(SG)유착경호적삼수고계수렴성,병차수착신식장도 p적증가급유망인자인입,MISG산법변식효과여최소이승(RLS)산법접근。
Permanent Magnet Synchronous Motor(PMSM)has some excellent features, such as fast response, better accuracy, high torque to current ratio. Based on analysis of PMSM mathematical model, the system regression model is proposed, and multi-innovation stochastic gradient algorithm for PMSM parameters identification is derived. Simulation and real-time experiments results show that MISG algorithm has more outstanding performance on parameter estimate convergence than SG algorithm because of reusing measurable output and input information. Meanwhile, with multi-inno-vation length increased and forgetting factor affected, convergence performance of MISG algorithm is close to RLS.