The Improved EKF Velocity Estimation Algorithm for PMSM and Experimental Assessment
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.
Velocity estimation incremental optical encoder Permanent Magnet Synchronous Motor (PMSM) Extended Kalman filter (EKF)
HE Dongwei PENG Xiafu JIANG Xuecheng ZHOU Jiehua
Department of Automation, Xiamen University, Xiamen 361005, China Department of Electronics, Minjiang University, Fuzhou, China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
4273-4277
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）