Skip to content
2000
image of Fuzzy PI Control and Optimization of Startup Process of High-Speed DC Centrifugal Pumps

Abstract

Background

Centrifugal pumps are key equipment used for fluid transfer in the chemical industry. During the start-up process of high-speed centrifugal pumps, the hydraulic characteristics such as flow rate and head will change significantly, and the optimization of the pump start-up process can improve its stability and service life, which will make centrifugal pumps more efficient in chemical production.

Objective

Achieving a fast and stable startup process has always been a goal in the engineering application of high-speed centrifugal pumps.

Methods

First, the mathematical relationship between the torque and speed of the centrifugal pump is established. Then, based on the physical characteristics of the DC motor and considering the centrifugal pump torque as the load, a mathematical model of the high-speed DC centrifugal pump is developed. A fuzzy PI controller for the high-speed DC centrifugal pump is designed by integrating traditional PI control methods with fuzzy control theory to manage the startup process. Optimization algorithms are employed to optimize the parameters of the fuzzy PI controller.

Results

Before optimization, the settling time was 0.33 s, the motor speed overshoot was 7.69%, the head overshoot was 3.77%, and the flow rate overshoot was 7.69%. After optimization, the settling time improved to 0.25 s, the motor speed overshoot was reduced to 6.3%, the head overshoot to 3.1%, and the flow rate overshoot to 6.3%.

Conclusion

A comparison of simulation results before and after parameter optimization demonstrates that the optimized fuzzy PI control yields better dynamic performance during the startup process of the high-speed DC centrifugal pump.

Loading

Article metrics loading...

/content/journals/rice/10.2174/0124055204374433250310084724
2025-03-21
2025-05-23
Loading full text...

Full text loading...

References

  1. Lobanoff V.S. Ross R.R. Centrifugal pumps: Design and application. 2nd ed. Oxford: Elsevier 1992
    [Google Scholar]
  2. Kelly J.H. Understand the fundamentals of centrifugal pumps. Chem. Eng. Prog. 2010 106 10 22 28
    [Google Scholar]
  3. Wang J Chen J Su SJMPLB Chemical heat pumps beyond the carnot limit. Modern Phys. Lett. B 2024 38 7 2350249 10.1142/S0217984923502494
    [Google Scholar]
  4. Yüksel O Modelling and performance prediction of a centrifugal cargo pump on a chemical tanker. J. Mar. Sci. Technol.z 2020 19 4 278 10.1080/20464177.2019.1665330
    [Google Scholar]
  5. Shah S Jain S Patel R Lakhera VJPE CFD for centrifugal pumps: A review of the state-of-the-art. Procedia Eng. 2013 51 715 720 10.1016/j.proeng.2013.01.102
    [Google Scholar]
  6. Ayad AF Abdalla HM Aly AAE-AJAS Effect of semi-open impeller side clearance on the centrifugal pump performance using CFD. Aerosp. Sci. Technol. 2015 47 247 10.1007/s12206‑014‑1228‑6
    [Google Scholar]
  7. Kim J-H Lee H-C Kim J-H Kim S Yoon J-Y Design techniques to improve the performance of a centrifugal pump using CFD. J. Mech Sci Technol 2015 29 215 10.1007/s12206‑014‑1228‑6
    [Google Scholar]
  8. Shojaeefard MH Hosseini SE Zare JJS Optimization M CFD simulation and pareto-based multi-objective shape optimization of the centrifugal pump inducer applying GMDH neural network, modified NSGA-II, and TOPSIS. Struct. Multidisc Optim. 2019 60 1509 10.1007/s00158‑019‑02280‑0
    [Google Scholar]
  9. Bashiri M Derakhshan S Design optimization of a centrifugal pump using particle swarm optimization algorithm. Int. J. Fluid Mach. Syst. 2019 12 4 322 10.5293/IJFMS.2019.12.4.322
    [Google Scholar]
  10. De Donno R Ghidoni A Noventa G Rebay SJO Shape optimization of the ERCOFTAC centrifugal pump impeller using open-source software. Optim Eng. 2019 20 929 953 10.1007/s11081‑019‑09428‑3
    [Google Scholar]
  11. Tao R Xiao R Zhu D Multi-objective optimization of double suction centrifugal pump. J. Mech. Eng. Sci. 2018 232 6 1108 1117
    [Google Scholar]
  12. Han X Kang Y Sheng J Hu Y Zhao WJS Optimization M Centrifugal pump impeller and volute shape optimization via combined NUMECA, genetic algorithm, and back propagation neural network. Struct. Multidiscipl. Optim. 2020 61 381 381 10.1007/s00158‑019‑02367‑8
    [Google Scholar]
  13. Han B Tan L Lu Y Dai ZJOE Multiple parameters and multiple conditions optimization based on two steps strategy for an axial flow pump. Ocean Eng. 2023 281 114732 10.1016/j.oceaneng.2023.114732
    [Google Scholar]
  14. Yan X Zhang F Zheng Y Kan K Numerical investigation of hydraulic instability of pump-turbines in fast pump-to-turbine transition J. Energ. Storage. 2024 96 112731 10.1016/j.est.2024.112731
    [Google Scholar]
  15. Gu Y Fan L Lan Q Wei YJE Experimental study on the transient supply consistency for a common rail pump based on impedance theory. Energy 2023 283 129062 10.1016/j.energy.2023.129062
    [Google Scholar]
  16. Kan K Chen H Zheng Y Zhou D Binama M Dai JJRE Transient characteristics during power-off process in a shaft extension tubular pump by using a suitable numerical model. Renewable Energ. 2021 164 109 121 10.1016/j.renene.2020.09.001
    [Google Scholar]
  17. Wang C. Zhang Y.X. Zhu J.J. Yuan Z.Y. Lu B.H. Effect of cavitation and free-gas entrainment on the hydraulic performance of a centrifugal pump. Proc. Inst. Mech. Eng 2021 235 440 453 10.1177/0957650920939343
    [Google Scholar]
  18. Zhang Y.L. Ji Y.Y. Zhao Y.J. Deep analysis of the transient behavior of centrifugal pumps during startup and shutdown. Meas. Control 2022 55 3-4 155 163 10.1177/00202940211064234
    [Google Scholar]
  19. Ahmed F Eames I Azarbadegan A Acoustics and vibrations in a complex piping network with pump startup–shutdown transients. Int. J. Mech. Sci. 2022 227 107357 10.1016/j.ijmecsci.2022.107357
    [Google Scholar]
  20. Li Y. Guo D. Li X. The effect of startup modes on a vacuum cam pump. Vacuum 2019 166 170 177 10.1016/j.vacuum.2019.05.009
    [Google Scholar]
  21. Tsukamoto H Ohashi H Transient characteristics of a centrifugal pump during starting period. J. Fluids Eng. 1982 104 1 6 13 10.1115/1.3240859
    [Google Scholar]
  22. Thanapandi P Centrifugal pump transient characteristics and analysis using the method of characteristics. Int. J. Mech. Sci." 1995 37 1 77 89
    [Google Scholar]
  23. Chalghoum I Elaoud S Akrout M Taieb EHJAA Transient behavior of a centrifugal pump during starting period. Appl. Acoustics. 2016 109 82 9 10.1016/j.apacoust.2016.02.007
    [Google Scholar]
  24. Dazin A Caignaert G Bois G Transient behavior of turbomachineries: Applications to radial flow pump startups. J. Fluids Eng. 2007 129 1436 10.1115/1.2776963
    [Google Scholar]
  25. Wu D Wang L Hao Z Li Z Experimental study on hydrodynamic performance of a cavitating centrifugal pump during transient operation. J. Mech. Sci. Technol. 2010 24 575 10.1007/s12206‑009‑1217‑3
    [Google Scholar]
  26. Gevorkov L Rassõlkin A Kallaste A Vaimann TJE Simulation study of mixed pressure and flow control systems for optimal operation of centrifugal pumping plants. Electr. Control. Commu. 2018 14 1 89 94 10.1007/s12206‑009‑1217‑3
    [Google Scholar]
  27. Diaz C Ruiz F Patino DJAE Modeling and control of water booster pressure systems as flexible loads for demand response. Appl. Ener. 2017 294 106 116 10.1016/j.apenergy.2017.06.094
    [Google Scholar]
  28. Pyrhonen J. Hrabovcova V. Semken R.S. Electrical machine drives control: An introduction. John Wiley & Sons 2016 10.1002/9781119260479
    [Google Scholar]
  29. Xu W. Wei D. Lei C. Control for the centrifugal pump in the simulation platform of power plants. 2016 International Conference on Industrial Informatics-Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII) Wuhan, China, 03-04 December 2016, pp. 263-267 10.1109/ICIICII.2016.0070
    [Google Scholar]
  30. Ghafouri J Khayatzadeh H Dynamic modeling of variable speed centrifugal pump utilizing matlab/SIMULINK. IJSEI 2012 1 5 1 7
    [Google Scholar]
  31. Brezina T. Kovar J. Hejc T. Modeling and control of system with pump and pipeline by pole placement method. 14th International Conference Mechatronika Trencianske Teplice, Slovakia, 01-03 June 2011, pp. 6-9 10.1109/MECHATRON.2011.5961082
    [Google Scholar]
  32. Arun S.V. Subramaniam U. Padmanaban S. Bhaskar M.S. Almakhles D. Investigation for performances comparison PI, adaptive PI, fuzzy speed control induction motor for centrifugal pumping application. IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) Sonderborg, Denmark, 23-25 April 2019, pp. 1-6
    [Google Scholar]
  33. Wang Y Zhang H Han Z Ni XJP Optimization design of centrifugal pump flow control system based on adaptive control. Processes 2021 9 9 1538 10.3390/pr9091538
    [Google Scholar]
  34. Bordeasu D. Prostean O. Filip I. Vasar C.J.M. Adaptive control strategy for a pumping system using a variable frequency drive. Machines 2023 11 7 688 10.3390/machines11070688
    [Google Scholar]
  35. Gevorkov L. Rassõlkin A. Kallaste A. Vaimann T. Simulink based model for flow control of a centrifugal pumping system. 25th International Workshop on Electric Drives: Optimization in Control of Electric Drives (IWED), Moscow, Russia, 31 January - 02 February 2018, pp. 1-4 10.1109/IWED.2018.8321399
    [Google Scholar]
  36. Caba S. Lepper M. Liu S. Nonlinear controller and observer design for centrifugal pumps. 2016 IEEE Conference on Control Applications (CCA) Buenos Aires, Argentina, 19-22 September 2016, pp. 569-574. 10.1109/CCA.2016.7587890
    [Google Scholar]
  37. Jaimes Saavedra C.F. Roa Prada S. Maradey Lázaro J.G. Modeling and optimal control of a variable-speed centrifugal pump with a pipeline. ASME International Mechanical Engineering Congress and Exposition November 11–17, 2016 Phoenix, Arizona, USA 10.1115/IMECE2016‑67992
    [Google Scholar]
  38. Shi J. Li Z. Gao J. Chen D. Li X. Li Y. Thermal-hydraulic modeling of oil-immersed motor pump. Appl. Sci. 2023 13 16 9452 10.3390/app13169452
    [Google Scholar]
  39. Yin L. Tao J. Xiao L. Xuechong Q. Yuejiang H.J.M. Research on pump speed control system based on fuzzy PID. Design. optim. Mech. Syst. 2023 29 3 225 234
    [Google Scholar]
  40. Janevska G. Mathematical modeling of pump system. Electronic International Interdisciplinary Conference Zilina, Slovak Republic, September, 2. - 6. 2013, pp. 455-589
    [Google Scholar]
  41. Ge X Zhang J Zhang J Liu D Zheng Y Chen HJE Review of research on the three-dimensional transition process of large-scale low-lift pump. Energies 2022 15 22 8338 10.3390/en15228338
    [Google Scholar]
  42. Li Z. Wu P. Wu D. Wang L. Experimental and numerical study of transient flow in a centrifugal pump during startup. J. Mech. Sci. Technol. 2011 25 3 749 757 10.1007/s12206‑011‑0107‑7
    [Google Scholar]
  43. Li Q Ma X Wu P Yang S Huang B Wu DJP Study on the transient characteristics of the centrifugal pump during the startup period with assisted valve. Processes 2020 8 10 1241 10.3390/pr8101241
    [Google Scholar]
  44. Ding H Ge F Wang K Lin FJP Influence of blade trailing-edge filing on the transient characteristics of the centrifugal pump during startup. Processes 2023 11 8 2420 10.3390/pr11082420
    [Google Scholar]
  45. Kuczmann M.J.E. Reviewof D.C. Review of DC motor modeling and linear control: Theory with laboratory tests. Electronics 2024 13 11 2225 10.3390/electronics13112225
    [Google Scholar]
  46. García-Rodríguez VH Silva-Ortigoza R Hernández-Márquez E García-Sánchez JR Taud HJE DC/DC Boost converter–inverter as driver for a DC motor: Modeling and experimental verification. Energies 2018 11 8 2044 10.3390/en11082044
    [Google Scholar]
  47. Lee D Lee SJ Yim SCJOE Reinforcement learning-based adaptive PID controller for DPS. Ocean Eng. 2020 216 108053 10.1016/j.oceaneng.2020.108053
    [Google Scholar]
  48. Carneiro JF Friction characteristics and servo control of a linear peristaltic actuator. Int. J. Adv. Manuf. Technol. 2018 96 2117 10.1007/s00170‑018‑1678‑6
    [Google Scholar]
  49. Valdez F Vazquez JC Melin P Castillo OJASC Comparative study of the use of fuzzy logic in improving particle swarm optimization variants for mathematical functions using co-evolution. Appl. Soft Comput. 2017 52 1070 1083 10.1016/j.asoc.2016.09.024
    [Google Scholar]
  50. Wang T. Song JJJoR. Harmonic detection method based on particle swarm optimization and simulated annealing algorithm of electrohydraulic servo system. J. Robotics 2022 2022 1 7483427 10.1155/2022/7483427
    [Google Scholar]
  51. Wang X-H. Li J-J. Hybrid particle swarm optimization with simulated annealing. Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), Shanghai, China, 26-29 August 2004, pp. 2402-2405 10.1109/ICMLC.2004.1382205
    [Google Scholar]
  52. Sahu RK Panda S DE optimized parallel 2-DOF PID controller for load frequency control of power system with governor dead-band nonlinearity. Int. J. Electr. Power Energy Syst. 2013 49 19 33
    [Google Scholar]
/content/journals/rice/10.2174/0124055204374433250310084724
Loading
/content/journals/rice/10.2174/0124055204374433250310084724
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test