SELF-LEARNING ENERGY-SAVING SPEED REGULATION STRATEGY OF BELT CONVEYOR, 1-10.

Lidong Zhou, Jinghe Liu, Zhao Yang, Shikang He, Yuan Yuan, and Dingyi Zhang

References

  1. [1] N. Zrni´c, M. Dordevi´c, and V. Gaˇsi´c, Historical backgroundand evolution of belt conveyors. Foundations of Science, 29,2024, 225–255.
  2. [2] P. Kulinowski, P. Kasza, and J. Zarzycki, Influence of designparameters of idler bearing units on the energy consumptionof a belt conveyor, Sustainability, 13(1), 2021, 437.
  3. [3] W. Kawalec, N. Suchorab, M. Konieczna-Fulawka, and R. Kr´ol,Specific energy consumption of a belt conveyor system in acontinuous surface mine, Energies, 13(19), 2020, 5214.
  4. [4] M. Bajda and M. Hardyg´ora, Analysis of the influence of thetype of belt on the energy consumption of transport processesin a belt conveyor, Energies, 14(19), 2021, 6180.
  5. [5] F. Zeng, C. Yan, Q. Wu, and T. Wang, Dynamic behaviourof a conveyor belt considering non-uniform bulk materialdistribution for speed control, Applied Sciences, 10(13), 2020,4436.
  6. [6] D. He, X. Liu, and B. Zhong, Sustainable belt conveyoroperation by active speed control, Measurement, 154, 2020,107458.
  7. [7] Q. Zhou, H. Gong, W. Sun, Q. Yan, K. Shi, and G. Du, Activespeed control of belt conveyor with variable speed intervalbased on fuzzy algorithm, Journal of Electrical Engineering &Technology, 19(3), 2024, 1499–1513.
  8. [8] C. Tan, Z.-M. Feng, X. Liu, J. Fan, W. Cui, R. Sun, and Q. Ma,Review of variable speed drive technology in beam pumpingunits for energy-saving, Energy Reports, 6, 2020, 2676–2688.
  9. [9] C. Hou, T. Qiao, H. Dong, and H. Wu, Coal flow volumedetection method for conveyor belt based on TOF vision,Measurement, 229, 2024, 114468.
  10. [10] M. Zhang, M. Zhou, and H. Shi, A computer vision-based real-time load perception method for belt conveyors, MathematicalProblems in Engineering, 2020, 2020, 1–9.
  11. [11] J. Ji, C. Miao, X. Li, and Y. Liu, Speed regulation strategyand algorithm for the variable-belt-speed energy-saving controlof a belt conveyor based on the material flow rate, PloS One,16(2), 2021, e0247279.
  12. [12] M. Z. Bebic and L. B. Ristic, Speed controlled belt conveyors:Drives and mechanical considerations, Advances in Electricaland Computer Engineering, 18(1), 2018, 51–60.
  13. [13] J. Ji, C. Miao, and X. Li, Research on the energy-saving controlstrategy of a belt conveyor with variable belt speed based onthe material flow rate, PloS One, 15(1), 2020, e0227992.
  14. [14] X. Xin, Q. Jiang, S. Li, S. Gong, and K. Chen, Energy-efficient scheduling for a permutation flow shop with variabletransportation time using an improved discrete whale swarmoptimization, Journal of Cleaner Production, 293, 2021, 126121.
  15. [15] D. He, Y. Pang, G. Lodewijks, and X. Liu, Healthy speedcontrol of belt conveyors on conveying bulk materials, PowderTechnology, 327, 2018, 408–419.
  16. [16] P.W. Robinson, O. Orozovic, M. H. Meylan, C. A. Wheeler,and D. Ausling, Optimization of the cross section of a novel railrunning conveyor system, Engineering Optimization, 54(9),2022, 1544–1562.
  17. [17] G. Wang, X. Li, and L. Yang, Dynamic coal quantitydetection and classification of permanent magnet direct drivebelt conveyor based on machine vision and deep learning,International Journal of Pattern Recognition and ArtificialIntelligence, 35(11), 2021, 2152017.
  18. [18] W. Han, X. Hu, and W. Tan, Structure and tuning of observer-based PID, Mechatronic Systems and Control, 50(4), 2022,205–215.
  19. [19] A. K. Yadav, V. Kumar, and M. K. A. Pandey, Wind farmintegrated fuzzy logic-based facts controlled power systemstability analysis, Mechatronic Systems and Control, 51(4),2023, 172–181.
  20. [20] D. Zhang, C. Sun, X. Hu, and J. Zhang, Cross-couplingsynchronous control of double brushless dc motor based onvariable domain fuzzy PID, Mechatronic Systems and Control,49(1), 2021, 49.
  21. [21] D. Romek, D. Ulbrich, J. Selech, J. Kowalczyk, and R. Wlad,Assessment of padding elements wear of belt conveyors workingin combination of rubber-quartz-metal condition, Materials(Basel, Switzerland), 14(15), 2021, 4323.9
  22. [22] B. Nins, J.J. Penagos, L. Moreira, D. M¨unch, P. Falqueto, C.C. Vi´afara, and A. R. da Costa, Abrasiveness of iron ores:Analysis of service-worn conveyor belts and laboratory drysand/Rubber wheel tests, Wear, 506–507, 2022, 204439.

Important Links:

Go Back