NDLI: The improved EKF velocity estimation algorithm for PMSM and experimental assessment

Content Provider	IEEE Xplore Digital Library
Author	He Dongwei Peng Xiafu Jiang Xuecheng Zhou Jiehua
Copyright Year	2012
Description	Author affiliation: Department of Automation, Xiamen University, Xiamen 361005, China (He Dongwei; Peng Xiafu; Zhou Jiehua) \|\| Department of Electronics, Minjiang University, Fuzhou, China (Jiang Xuecheng)
Abstract	This paper presents the improved EKF rotor velocity estimation algorithm for the PMSM servo system with an incremental optical encoder in detail. In a common PMSM servo system, the velocity got by the fixed-time method always carries quantization noise in the form of random impulse due to the quantization error of the encoder. The traditional method treats the quantization error as high frequency noise, and uses a first-order low-pass filter to eliminate it, but it would bring lagging and attenuation. While the proposed improved EKF velocity estimation algorithm can overcome the defects mentioned above to estimate the velocity precisely, besides no circuit modify and no matrix calculation are need. Finally serial experiments are carried out to evaluate its performance and practicality.
Starting Page	4273
Ending Page	4277
File Size	355687
Page Count	5
File Format	PDF
ISBN	9781467325813
ISSN	21612927
e-ISBN	9789881563811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Optical filters Extended Kalman filter (EKF) Velocity estimation Noise Estimation Rotors incremental optical encoder Quantization Acceleration Servomotors Permanent Magnet Synchronous Motor (PMSM)
Content Type	Text
Resource Type	Article

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