Paper
25 May 2023 Research on control of coal mine belt conveyor based on improved sliding mode control
Xiaohong Chen, Sen Wang, Nan Chen, Zhenhua Zhang, Haoming Qu, Wenshuo Wang, Yunchuan Xu, Bo Sun, Shiyi Ma
Author Affiliations +
Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126363F (2023) https://doi.org/10.1117/12.2675282
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
In order to achieve high efficiency and energy saving electromechanical integration zero transmission structure, a permanent magnet synchronous motor using an external rotor is adopted (PMSM) direct drive mode of coal mine belt conveyor. Through the research and analysis of the special application environment and control strategy of this kind of motor, vector control strategy method based on active disturbance rejection technology and sensorless control is adopted. To improve the speed regulation performance of belt conveyor when the load frequency changes conduct modeling and simulation analysis The improved sliding mode observer can effectively improve the accuracy of rotor position estimation and tracking performance, the effectiveness of the algorithm is verified.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaohong Chen, Sen Wang, Nan Chen, Zhenhua Zhang, Haoming Qu, Wenshuo Wang, Yunchuan Xu, Bo Sun, and Shiyi Ma "Research on control of coal mine belt conveyor based on improved sliding mode control", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126363F (25 May 2023); https://doi.org/10.1117/12.2675282
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KEYWORDS
Control systems

Mining

Computer simulations

Analytical research

Data modeling

Environmental sensing

Simulink

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