Advertisement

Control strategy of energy saving for power system in hydraulic surface drilling rig

  • Liang Xiangjing
  • Wu wanrong
Technical Paper
  • 98 Downloads

Abstract

In order to achieve the purposes of better energy saving and lower fuel consumption under the condition in which load changes frequently and fluctuates dramatically, the energy-saving control strategy of power system is put forward in a hydraulic surface drilling rig. The structure of power system and working conditions of hydraulic surface drilling rigs are described. The mathematical models of the external characteristic for engine, variable pump, and air screw compressor in hydraulic surface drilling rig are presented in detail. Then the control strategy of power system and the fuzzy PID control algorithm to implement this strategy are proposed to control the engine speed in various working states. The simulation analysis and experimental investigation are carried out to study the fuel consumption in the typical operating conditions by using energy-saving control strategy. Results show that the energy-saving control strategy can reduce fuel consumption for the hydraulic surface drilling rig while ensuring that the system performance is not sacrificed.

Keywords

Hydraulic surface drilling rig Energy saving Control strategy Power matching Fuzzy PID 

Notes

Acknowledgements

The authors gratefully acknowledge the National Natural Science Foundation of China (51,705,147 and 51774340) and the National High Technology Research and Development Program of China (2012AA041801).

References

  1. 1.
    Song CH, Kwon KB, Shin DY et al (2013) Trend analysis of drilling technology for top-hammer drilling machine. J Kor Soc Rock Mech 23(4):271–279Google Scholar
  2. 2.
    Oh JY, Song CH, Kim DJ (2016) Numerical investigation of performance of hydraulic percussion drifter. Int J Precis Eng Manuf 17(7):879–885CrossRefGoogle Scholar
  3. 3.
    Song CH, Kwon KB, Cho MG (2015) Development of lab-scale rock drill apparatus for testing performance of a drill bit. Int J Precis Eng Manuf 16(7):1405–1414CrossRefGoogle Scholar
  4. 4.
    Peng T, Yang H, Fu X (2001) Hydraulic excavator overall power match harmony control. Chin J Mech Eng 37(11):50–54CrossRefGoogle Scholar
  5. 5.
    Wang X, Yu A, Chen W (2011) Optimal matching on driving system of hydraulic hybrid vehicle. Procedia Eng 15(7):5294–5298CrossRefGoogle Scholar
  6. 6.
    Casoli P, Gambarotta A, Pompini N et al (2015) Coupling excavator hydraulic system and internal combustion engine models for the real-time simulation. Control Eng Pract 41:26–37CrossRefGoogle Scholar
  7. 7.
    Yoo S, An S, Park CG et al (2009) Design and control of hybrid electric power system for a hydraulically actuated excavator. Sae Int J Commer Veh 2(2):264–273CrossRefGoogle Scholar
  8. 8.
    Kwon TS, Lee SW, Sul SK et al (2010) Power control algorithm for hybrid excavator with super capacitor. IEEE Trans Ind Appl 46(4):1447–1455CrossRefGoogle Scholar
  9. 9.
    Choi J (2012) Tracking control of hydraulic excavator using time varying sliding mode controller with fuzzy system. J Comput Theor Nanosci 15(1):78–82Google Scholar
  10. 10.
    Liu B, He Q, Yang Z (2007) Fuzzy control of power matching for hydraulic rotatory drilling-rig based on rotation speed feedback. China J Highway Transp 20(1):123–126Google Scholar
  11. 11.
    Liu B, He Q, Yang Z (2007) Load limit sensing control of power matching for engine—variable pump system. China Mech Eng 04:500–503Google Scholar
  12. 12.
    Yang S, Hao Y, Liu J et al (2014) Research on power matching and energy saving control of power system in hydraulic excavator. J Mech Eng 50(5):152CrossRefGoogle Scholar
  13. 13.
    Wang D, Lin X, Zhang Y (2011) Fuzzy logic control for a parallel hybrid hydraulic excavator using genetic algorithm. Autom Constr 20(5):581–587CrossRefGoogle Scholar
  14. 14.
    Zeng X, Yang N, Peng Y et al (2014) Research on energy saving control strategy of parallel hybrid loader. Autom Constr 38:100–108CrossRefGoogle Scholar
  15. 15.
    Chen YL, Shang T, Li JL et al (2015) Evaluation for energy-saving effect of hybrid drilling rig system based on the logic threshold method. J Terrramech 63:49–60CrossRefGoogle Scholar
  16. 16.
    Ye M, Yi X, Pu D et al (2015) Global power matching on truck-mounted concrete pump based on genetic algorithm. J Jilin Univ 45(3):820–828Google Scholar
  17. 17.
    Shen W, Jiang J, Su X et al (2015) Control strategy analysis of the hydraulic hybrid excavator. J Frankl Inst 352(2):541–561CrossRefzbMATHGoogle Scholar
  18. 18.
    Krichel SV, Sawodny O (2011) Dynamic modeling of compressors illustrated by an oil-flooded twin helical screw compressor. Mechatronics 21(1):77–84CrossRefGoogle Scholar
  19. 19.
    Fu L, Ding G, Zhang C (2003) Dynamic simulation of air-to-water dual-mode heat pump with screw compressor. Appl Therm Eng 23(13):1629–1645CrossRefGoogle Scholar
  20. 20.
    Rakhtala SM, Roudbari ES (2016) Fuzzy PID control of a stand-alone system based on PEM fuel cell. Int J Electr Power Energy Syst 78:576–590CrossRefGoogle Scholar

Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2018

Authors and Affiliations

  1. 1.College of Mechanical Electrical EngineeringCentral South UniversityChangshaPeople’s Republic of China

Personalised recommendations