[1]陈建清,李浙昆,周浩,等.GA优化的EKF观测异步电机转速[J].机械与电子,2016,(08):44-47.
　CHEN Jianqing,LI Zhekun,ZHOU Hao,et al.GA-Optimized EKF for Observation of Asynchronous Motors Speed[J].Machinery & Electronics,2016,(08):44-47.
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GA优化的EKF观测异步电机转速
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2016年08期
页码:
44-47
栏目:
机电一体化技术
出版日期:
2016-08-25

文章信息/Info

Title:
GA-Optimized EKF for Observation of Asynchronous Motors Speed
作者:
陈建清; 李浙昆; 周浩; 张文斌; 穆晓强; 刘洋
（昆明理工大学机电工程学院，云南 昆明，650500）
Author(s):
CHEN Jianqing;  LI Zhekun;  ZHOU Hao;  ZHANG Wenbin;  MU Xiaoqiang;  LIU Yang
(Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China)
关键词:
遗传算法;  扩展卡尔曼滤波器;  矢量控制;  速度观测
Keywords:
GA;  EKF;  VC;  speed estimation
分类号:
TM346.2
文献标志码:
A
摘要:
针对使用试错法的扩展卡尔曼滤波器（EKF）观测异步电机转速效率低下和观测精度不够高的问题,研究了利用遗传算法优化在EKF中需要花费大量时间调整的EKF协方差和权系数矩阵的方法。Simulink仿真表明在矢量控制下优化后的EKF在速度观测中具有效率高、稳定性好和精确度高的特点。
Abstract:
Observing the asynchronous motor speed with

参考文献/References:

[1]Manes C. A comparative study of rotor flux estimation in induction motors with a nonlinear observer and the extended Kalman filter[C]∥ IECON'94 Conference,1994： 2149-2154.
[2]Barut M. Speed-sensorless estimation for induction motors using extended kalman filters[J]. IEEE Trans. On Industrial Electronics, 2007,54:272-280.
[3]Shi K L. Speed estimation of induction motor using extended Kalman filter[C]∥IEEE Winter Meeting, Singapore, 2000:243-248.
[4]Zhang Y, Zhao Z, Lu T. A comparative study of luenberger observer, sliding mode observer and extended kalman ?lter for sensorless vector control of induction motor drives[C]∥ Energy Conversion Congress and Exposition, 2009:2466-2473.
[5]Lewis F L. Applied Optimal Control & Estimation [M]. New York: Prentice-Hall, 1992.

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备注/Memo

备注/Memo:
收稿日期：2016-04-22
基金项目：昆明理工大学学生课外学术科技创新基金（2015YB017）
作者简介：陈建清（1990-），男，重庆万州人，硕士研究生，研究方向为智能交流传动系统；李浙昆（1957-），男，云南昆明人，教授，博士研究生导师，研究方向为机电系统设计及智能控制技术。
更新日期/Last Update: 2016-08-25