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Speed and Load Torque Estimation of Induction Motors Based on an Adaptive Extended Kalman Filter
Yu HX(于洪霞); Hu JT(胡静涛)
Conference NameInternational Conference on Materials Science and Information Technology (MSIT 2011)
Conference DateSEP 16-18, 2011
Conference PlaceSingapore
Source PublicationAdvanced Materials Research
Publication PlaceSTAFA-ZURICH, Switzerland
Indexed ByEI ; CPCI(ISTP)
EI Accession number20120414713302
WOS IDWOS:000302092002206
Contribution Rank1
KeywordAekf Induction Motor Load Torque Speed
AbstractWhen we monitor running state of induction motor in field, the sensorless estimation of load torque and speed of induction motor has important significance, in this paper, a method to estimate load torque and speed of motor using adaptive extended kalman filter(AEKF) is presented, the covariance matrices of noises are estimated while the speed and load torque of induction motor are estimated using EKF in this method; this method solved the problem that the estimate results of EKE are affected greatly by the covariance matrices of noise, Simulation demonstrate that this method can get higher estimated accuracy.
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Document Type会议论文
Affiliation1.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Graduate School of the Chinese Academy of Sciences, China
3.Department of Information Sciences and Engineering, Shenyang University of Technology, Shenyang, China
Recommended Citation
GB/T 7714
Yu HX,Hu JT. Speed and Load Torque Estimation of Induction Motors Based on an Adaptive Extended Kalman Filter[C]. STAFA-ZURICH, Switzerland:TRANS TECH PUBLICATIONS LTD,2011:7004-7010.
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