Speed Estimation from a Low-Resolution Encoder Using Adaptative Extend Kalman Observer in Low-Speed Range
ID：294
Submission ID：298 View Protection：ATTENDEE
Updated Time：2021-12-10 15:16:21
Hits：491
Oral Presentation
Start Time：2021-12-17 11:30 （Asia/Shanghai）
Duration：15min
Session：[G] Electric Machine Design and Control » [G4] Session 35
Video
No Permission
Presentation File
Tips: The file permissions under this presentation are only for participants. You have not logged in yet and cannot view it temporarily.
Abstract
The position update time increases when the motor with a low-resolution position encoder runs at a low speed. Therefore, a considerable speed calculation delay is generated, and the bandwidth of the speed controller is limited. This paper proposes an adaptive extended Kalman observer, which observes the motor speed and position information through the encoder pulse output and current sampling, and updates the position measurement noise variance in real-time to reduce the motor position and speed estimation error. It is compared with the standard Kalman observer, and the superiority of the proposed adaptive extended Kalman observer is verified through simulation and experiment.
Keywords
Kalman observer,low-resolution position sensor,low-speed control,speed estimation,permanent-magnet synchronous motor
Speaker
Comment submit