Electromechanical dynamic analysis for the DTC induction motor driving system of the unmanned long-wall shearer drum
- 98 Downloads
The unmanned long-wall shearer is one of the main equipments of the long-wall mining system. The direct torque control (DTC) induction motor is chosen as the power source of the drum driving system of the unmanned shearer to adjust the drum rotating speed and hauling speed jointly. The drum driving system is a weak part of the unmanned shearer which is composed of the DTC induction motor, the gear transmission system, and the drum. Some methods need to be found to monitor the cutting state of the drum and provide the feedback signals for the control system of the unmanned shearer. Therefore, an electromechanical dynamic analysis is conducted for the drum driving system of the unmanned shearer under shock, step, and random loads herein. The dynamic characteristics and electrical characteristics are investigated to provide some guidance for improving the reliability and dynamic performance of the drum driving system, monitoring the cutting state of the drum, and choosing the feedback signals for the shearer control system.
KeywordsUnmanned long-wall shearer Drum driving system DTC induction motor Electromechanical dynamic analysis Current characteristics
The research is supported by National Natural Science Foundation of China (Grant No. 51705042), Sichuan Provincial Key Lab of Process Equipment and Control (Grant No. GK201713), the Fundamental Research Funds for the Central Universities (Grant No. 106112017CDJXY330001), and State Key Laboratory of Mechanical Transmission (Grant No. SKLMT-ZZKT-2017Z07).
- 1.Kingshott, M., Graham, M.: Coal age–A Longwall look at tomorrow. In: Coal 1998: Coal Operators' Conference, pp. 343–351. Wollongong (1998)Google Scholar
- 2.Kia, S.H., Henao, H., Capolino, G.A.: Gearbox monitoring using induction machine stator current analysis. In: IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2007. SDEMPED 2007, pp. 149–154. Cracow (2007)Google Scholar
- 3.Kia, S.H., Henao, H., Capolino, G.A.: Torsional vibration monitoring using induction machine electromagnetic torque estimation, pp. 3120–3125. IEEE (2008)Google Scholar
- 12.Clerc, G., Feki, N., Velex, P.: Modeling of Gear-Motor dynamic interactions—applications to the detection of tooth faults by electric measurements. In: VDI-Berichte, 2108, pp. 941–953. Munich (2010)Google Scholar
- 20.Xu, Z.: Characteristic analysis of current spectrum on shearer cutting load. J. Theor. Appl. Inf. Technol. 50(3), 595–600 (2013)Google Scholar