Research on Adaptive Control of Tunneling Machine Based on PSO-BP Neural Network PID-Reference-Cited by-同舟云学术

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Research on Adaptive Control of Tunneling Machine Based on PSO-BP Neural Network PID

Published:2023-11-17 Issue: Volume:46 Page:3629-3632
ISSN:
Container-title:2023 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Liu Ruohan¹,Ren Chunping²,Li Degen³,Liu Yongli⁴

Affiliation:

1. School of Electrical and Control engineering, Safety Engineering College, Heilongjiang University of Science and Technology,Harbin,China

2. School of Mechanical Engineering, Heilongjiang University of Science and Technology,Harbin,China

3. Heilongjiang University of Science and Technology,Academic Theory Research Department,Harbin,China

4. School of Mining engineering, Heilongjiang University of Science and Technology,Harbin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451652.pdf?arnumber=10451652

Reference19 articles.

1. Current technological innovation and development direction of the 14th Five-Year Plan period in China coal industry;Liu;Journal of China Coal Society,2021

2. Digital twin for smart coal mining workface: technological frame and construction;Ge;Journal of China Coal Society,2020

3. Key common technology of intelligent heading in coal mine roadway;Ma;Journal of China Coal Society,2021

4. Present situation and development direction of coal mine robots;Ge;China Coal,2019

5. Prospect of study on tunnel collapse during rescue following disaster in coal mines;Hao;Journal of Heilongjiang Institute of Science & Technology,2012

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