Affiliation:
1. School of Mechatronic Engineering, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou 221116, China
Abstract
Achieving precise stopping of electric locomotives is crucial for the realization of intelligent and unmanned auxiliary transportation systems. Presently, human drivers play a central role in ensuring accurate stopping, presenting obstacles to automation and cargo location precision, especially within the coal mining sector. This article centers on achieving the precise stopping of electric locomotives under various conditions through the utilization of permanent magnet synchronous motor-driven locomotives. This approach introduces a novel stopping control method that integrates a fuzzy proportional–integral–derivative (F-PID) controller with a vector control model for permanent magnet synchronous motors (PMSM). Subsequently, we develop the F-PID controller using the PMSM technique, incorporating new fuzzy rules for each subsystem to enhance control accuracy and efficiency. Finally, extensive simulations and real-world experiments are conducted on an electric locomotive stopping test bed to validate the effectiveness of the proposed control method. The results show that the method consistently achieves precise stopping under diverse working conditions, with an error of less than 0.3 m, confirming its robustness and reliability.
Funder
National Natural Science Foundation of China
Reference36 articles.
1. Design and practice of integrated system for intelligent unmanned working face mining system in Huangling coal mine;Fan;Coal Eng.,2016
2. Research and practice of intelligent coal mine technology systems in China;Wang;Int. J. Coal Sci. Technol.,2022
3. Wang, M., Bao, J., Yuan, X., Yin, Y., and Khalid, S. (2022). Research Status and Development Trend of Unmanned Driving Technology in Coal Mine Transportation. Energies, 15.
4. Research on unmanned driving system of underground trackless rubber-tyred vehicle in coal mine;Libing;J. Mine Autom.,2022
5. Wang, G., Yan, X., Kou, Z., Deng, H., and Wang, K. (2023). Research on Operation Conflict of Auxiliary Transport Locomotive in Complex Mine Based on Extended Petri Net. Machines, 11.