帮助 关于我们

返回检索结果

基于EKF的异步电机转速和负载转矩估计
Speed and load torque estimation of induction motor using extended Kalman filter

查看参考文献16篇

文摘 合理选择电机的容量具有重要的意义,电机的容量可根据电机的转速和负载转矩确定,将电机的转速和负载转矩同时作为系统的状态,提出了一种基于EKF同时估计异步电机转速和负载转矩的方法,建立了包含异步电机转速和负载转矩状态的系统模型,基于该模型用EKF实现了同时估计异步电机转速和负载转矩,仿真和实验验证了所提方法能以较高的精度同时估计出电机的转速和负载转矩
其他语种文摘 Reasonable selecting motor capacity is important; induction motor capacity can be determined by its speed and load torque. In this paper, a method for simultaneously estimating motor load torque and speed using extended Kalman filter is presented, a state space model of induction motor including speed and load torque states is established; based on this model, EKF is used to implement the estimation of speed and load torque of induction motor. Simulation and experiment results demonstrate that the proposed method can simultaneously estimate speed and load torque with higher accuracy
来源 仪器仪表学报 ,2011,32(2):329-335 【核心库】
关键词 异步电机 ; 扩展卡尔曼滤波器 ; 转速 ; 负载转矩
地址

中国科学院沈阳自动化研究所, 中国科学院工业信息学重点实验室, 沈阳, 110016

语种 中文
文献类型 研究性论文
ISSN 0254-3087
学科 电工技术
基金 国家863计划
文献收藏号 CSCD:4148455

参考文献 共 16 共1页

1.  赵从毅. 轧机大电机运行状态监测系统. 电子测量与仪器学报,2003,17(2):75-80 被引 5    
2.  侯利民. PMSM无速度传感器最优转矩控制系统的研究. 仪器仪表学报,2009,30(4):707-710 被引 2    
3.  KOJABADI H M. A mras-based adaptive pseudoreduced- order flux observer for sensorless induction motor drives. IEEE Transactions on power electronic,2005,20(4):930-938 被引 6    
4.  ORLOWSKA-KOWALSKA T. Statorcurrent based MRAS estimator for a wide range speedsensorless induction-motor drive. Industrial Electronics, IEEE Transactions on,2010,57(4):1296-1308 被引 34    
5.  ZAKY M S. Wide-speed-range estimation with online parameter identification schemes of sensorless induction motor drives. Industrial Electronics, IEEE Transactions on,2009,56(5):1699-1707 被引 18    
6.  SHI K L. Speed estimation of an induction motor drive using an optimized extended Kalman filter. IEEE Transactions on Industrial Electronics,2002,49(1):124-133 被引 23    
7.  BUYAMIN S. Comparative study on optimising the EKF for speed estimation of an induction motor using simulated annealing and genetic algorithm. Electric Machines & Drives Conference, IEMDC'07,2007:1689-1694 被引 1    
8.  TRAJIN B. Comparison between stator current and estimated mechanical speed for the detection of bearing wear in asynchronous drives. Industrial Electronics, IEEE Transactions on,2009,56(11):4700-4709 被引 3    
9.  BRANDSTETTER P. Estimation techniques for sensorless speed control of induction motor drive. IEEE International Symposium on Industrial Electronics,2006:154-159 被引 1    
10.  LU B. A nonintrusive and in-service motor-efficiency estimation method using air-gap torque with considerations of condition monitoring. Industry Applications, IEEE Transactions on,2008,44(6):1666-1674 被引 1    
11.  GOEDTEL A. Neural approach for induction motor load torque identification in industrial applications. IEEE International Conference on Control Applications,2007:479-484 被引 2    
12.  LAROCHE E. Methodological insights for online estimation of induction motor parameters. Control Systems Technology, IEEE Transactions on,2008,16(5):1021-1028 被引 1    
13.  OUHROUCHE M A. Estimation of speed, rotor flux, and rotor resistance in cage induction motor using the EKF algorithm. International Journal of Power and Energy Systems,2002,22(2):103-109 被引 3    
14.  BUYAMIN S. Comparative study on optimising the EKF for speed estimation of an induction motor using simulated annealing and genetic algorithm. Proceedings of IEEE International Electric Machines and Drives Conference,2007:1689-1695 被引 1    
15.  纪志成. 基于等价输入干扰估计器的永磁同步电机无速度传感器控制. 仪器仪表学报,2009,30(10):2139-2143 被引 4    
16.  GOEDTEL A. Torque and speed estimator for induction motor using parallel neural networks and sensorless technology. Industrial Electronics, 2009. IECON'09. 35th Annual Conference of IEEE,2009:1362-1367 被引 1    
引证文献 13

1 陈旭海 基于FPAA与序贯双卡尔曼滤波信息融合的PCR温控 仪器仪表学报,2012,33(2):263-270
被引 2

2 许波 基于FIR优化滤波的旋转高频信号注入法及其应用 仪器仪表学报,2012,33(3):588-595
被引 4

显示所有13篇文献

论文科学数据集
PlumX Metrics
相关文献

 作者相关
 关键词相关
 参考文献相关

版权所有 ©2008 中国科学院文献情报中心 制作维护:中国科学院文献情报中心
地址:北京中关村北四环西路33号 邮政编码:100190 联系电话:(010)82627496 E-mail:cscd@mail.las.ac.cn 京ICP备05002861号-4 | 京公网安备11010802043238号