Multi-eye Visual Servo Drives with Self-Sensing Permanent Magnet Synchronous Machine

In the permanent magnet synchronous motor (PMSM) servo control, a sensorless control is the current research hotspot. This paper proposes a new sensor control method based on computer vision (CV), replacing the external camera instead of the load coder, and providing the necessary feedback of the cl...

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Bibliographic Details
Main Authors: Dong, Jingqi, Sun, Le, Wang, Enci, Liu, Yingguang, Chen, Longmiao
Format: Conference Proceeding
Language:English
Subjects:
Cameras
computer vision
Estimation
Extended Kalman filter
low-speed heavy-load
Magnetic separation
Permanent magnet motors
permanent magnet synchronous motor
sensorless motor control
signal injection
Stability analysis
Synchronous motors
Visualization
Online Access:Request full text
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Summary:In the permanent magnet synchronous motor (PMSM) servo control, a sensorless control is the current research hotspot. This paper proposes a new sensor control method based on computer vision (CV), replacing the external camera instead of the load coder, and providing the necessary feedback of the closed-loop server control. A single visual tracking technology can provide load location information, but high-precision cameras will lack continuity in terms of continuity, and they cannot meet the feedback requirements of the servo system control. Low-cost monocular cameras are lacking in system stability and accuracy. The issue of time and space discontinuousness is discussed, and a solution that integrates visual sports recognition and electrical and dynamic model-based motion estimates is proposed. The solution to fuse the feedback information of multiple cameras is proposed to improve the stability and accuracy of the entire control system. After simulation and testing, only multiple low-cost cameras feedback is used, and the encoder is canceled, the PMSM system proposed in this solution has high control accuracy and stronger resistance.
ISSN:2642-5513
DOI:10.1109/ICEMS59686.2023.10345303