Paper
28 February 2024 Research on motion control system of cutting arm of mining equipment based on fuzzy neural PID control
Peng Gao, Xiubin Sun, Linfang Li, Yuan Sun, Guopeng Liu, Yongling Kang
Author Affiliations +
Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 1307128 (2024) https://doi.org/10.1117/12.3025555
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China
Abstract
At present, the motion control accuracy of cutting arm is not high, and the automatic forming of section cutting has the problems of poor forming quality and large forming error, combined with the serious time-varying and uncertainty of the load change of the heading cutting arm mechanism, this paper proposes a method of using fuzzy neural PID controller to realize the motion control system of the cutting arm, the controller takes the working current deviation E and the variation rate EC of the electro-hydraulic proportional valve as the system control input variables, and carries on the simulation test to the electro-hydraulic proportional valve model, the experiment shows that the controller has strong robustness and can adjust the PID parameters adaptively when the parameters of the controlled plant change greatly, which meets the requirements of the motion control of the heading cutting arm, the accurate motion control of the cutting arm is realized, and the quality of the section cutting automatic forming is effectively improved.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Peng Gao, Xiubin Sun, Linfang Li, Yuan Sun, Guopeng Liu, and Yongling Kang "Research on motion control system of cutting arm of mining equipment based on fuzzy neural PID control", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 1307128 (28 February 2024); https://doi.org/10.1117/12.3025555
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KEYWORDS
Control systems

Fuzzy logic

Device simulation

Neural networks

Neurons

Adaptive control

Motion controllers

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