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Analysis of Bandwidth Expansion and Interference Suppression of Digital Hydraulic Cylinder System

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Abstract

This paper concentrates on digital hydraulic cylinder systems’ interference suppression and bandwidth expansion problems. The goals are to ensure the system’s stability and improve the rapid response-ability. First, a non-linear dynamics is used instead of linearization to formulate the plan. Then, considering the serious measurement noise of the load acceleration signal and the mismatching uncertainties of the electro-hydraulic servo system in practical applications, a new integral robust control strategy is proposed. Further, through the frequency-domain method, the selection laws of the feedback gains are determined. Finally, the control performance of the system is verified by simulation. The results show that the proposed controller can effectively control uncertainties and improve high-frequency tracking performance.

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References

  1. C.-T. Hsieh and C.-P. Lai, “Nonlinear dynamic analysis and control of a hydraulic press electro-hydraulic servo system,” Journal of Low Frequency Noise, Vibration and Active Control, vol. 38, no. 3–4, pp. 1594–1606, 2018.

    Google Scholar 

  2. L. Feng, and H. Yan, “Nonlinear adaptive robust control of the electro-hydraulic servo system,” Applied Sciences, vol. 10, no. 13, pp. 1–13, 2020.

    Article  Google Scholar 

  3. W. Wang, C. Cheng, W. Zou, and X. Lu, “Integrated energy saving and position tracking controller for the hydraulic lifting servo system,” ISA Transactions, vol. 119, no. 2, pp. 196–207, Jan 2022.

    Article  Google Scholar 

  4. P. Liang, C. Lu, and F. Yang, “Optimal control simulation of elliptical shaft center orbit with the hydraulic servo system,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 233, no. 2, pp. 610–624, 2017.

    Article  Google Scholar 

  5. Y. Ding, F. Wang, Z. Wang, and W. Zhang, “Fault diagnosis for hydraulic servo system using compressed random subspace based reliefF,” Complexity, vol. 2018, no. 2018, pp. 1–14, 2018.

    Google Scholar 

  6. J. Wang, Q. Huang, and Q. Qi, “Hydraulic servo system of bilateral rolling shears for thick and wide plate,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 42, no. 1, pp. 1–15, 2020.

    Article  Google Scholar 

  7. M. Linjama, M. Huova, and K. Huhtala, “Model-based force and position tracking control of an asymmetric cylinder with a digital hydraulic valve,” International Journal of Fluid Power, vol. 17, no. 3, pp. 163–172, 2016.

    Article  Google Scholar 

  8. J. Liu, Y. Liang, and N. Ansari, “Spark-based large-scale matrix inversion for big data processing,” IEEE Access, vol. 4, no. 3, pp. 2166–2176, 2016.

    Article  Google Scholar 

  9. M. Linjama, “Variable speed digital hydraulic transformer-based servo drive,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 234, no. 3, pp. 287–298, 2019.

    Google Scholar 

  10. F. Eugenio, J. Marcello, and J. Martin, “High-resolution maps of bathymetry and benthic habitats in shallow-water environments using multispectral remote sensing imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 7, pp. 3539–3549, 2015.

    Article  Google Scholar 

  11. R. Brandstetter, T. Deubel, R. Scheidl, B. Winkler, and K. Zeman, “Digital hydraulics and “Industrie 4.0”,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 231, no. 2, pp. 82–93, 2016.

    Google Scholar 

  12. Y. Lin, D. Li, Y. Gu, H. Liu, X. Feng, and J. Ding, “Multi-cylinder electrohydraulic digital loading technology for reproduction of large load,” Mechatronics, vol. 76, no. 2, pp. 102559–102569, 2021.

    Article  Google Scholar 

  13. Q. Zhang, X. Kong, B. Yu, K. Ba, Z. **, and Y. Kang, “Review and development trend of digital hydraulic technology,” Applied Sciences, vol. 10, no. 2, pp. 579–609, 2020.

    Article  Google Scholar 

  14. S. Xu, J. Lou, and L. Peng, “Nonlinear robust position tracking control of digital hydraulic cylinder with regard to uncertainties and disturbance,” Journal of Naval University of Engineering, vol. 27, no. 2, pp. 74–79, 2015.

    Google Scholar 

  15. S. Xu, J. Lou, and L. Peng, “Nonlinear robust position tracking control of digital hydraulic cylinder with input saturation,” Journal of Naval University of Engineering, vol. 28, no. 3, pp. 60–65, 2016.

    Google Scholar 

  16. L. Xu and B. Yao, “Adaptive robust control of mechanical systems with non-linear dynamic friction compensation,” International Journal of Control, vol. 81, no. 2, pp. 167–176, 2008.

    Article  MathSciNet  Google Scholar 

  17. K. Ito, T. Yamada, S. Ikeo, and K. Takahashi, “Application of simple adaptive control to water hydraulic servo cylinder system,” Chinese Journal of Mechanical Engineering, vol. 25, no. 5, pp. 882–888, 2012.

    Article  Google Scholar 

  18. S. Jiang, K. Zhang, H. Wang, D. Zhong, J. Su, Z. Liu, and F. Poisson, “Research on adaptive friction compensation of digital hydraulic cylinder based on LuGre friction model,” Shock and Vibration, vol. 2, no. 5, pp. 1–10, 2021.

    Google Scholar 

  19. J. Seo, R. Venugopal, and J.-P. Kenné, “Feedback linearization based control of a rotational hydraulic drive,” Control Engineering Practice, vol. 15, no. 12, pp. 1495–1507, 2007.

    Article  Google Scholar 

  20. C. Ai, W. Gao, Q. Hu, Y. Zhang, L. Chen, J. Guo, and Z. Han, “Application of the feedback linearization in maximum power point tracking control for hydraulic wind turbine,” Energies, vol. 13, no. 6, pp. 1529–1546, 2020.

    Article  Google Scholar 

  21. X. Li and X. Chen, “A multi-index feedback linearization control for a buck-boost converter,” Energies, vol. 14, no. 5, pp. 1496–1509, 2021.

    Article  Google Scholar 

  22. B. Haus, H. Aschemann, and P. Mercorelli, “Tracking control of a piezo-hydraulic actuator using input–output linearization and a cascaded extended Kalman filter structure,” Journal of the Franklin Institute, vol. 355, no. 18, pp. 9298–9320, 2018.

    Article  MathSciNet  Google Scholar 

  23. Q. Zhou, X. Xu, L. Liu, and G. Feng, “Output feedback stabilization of linear systems with infinite distributed input and output delays,” Information Sciences, vol. 576, no. 10, pp. 54–67, 2021.

    Article  MathSciNet  Google Scholar 

  24. R. Ortegaa, A. van der Schaftb, B. Maschkec, and G. Escobard, “Interconnection and dam** assignment passivity-based control of port-controlled Hamiltonian systems,” Automatica, vol. 38, no. 2002, pp. 585–596, 2002.

    Article  MathSciNet  Google Scholar 

  25. A. Qureshi, S. El Ferik, and F. L. Lewis, “Neuro-based canonical transformation of port controlled Hamiltonian systems,” International Journal of Control, Automation, and Systems, vol. 18, no. 12, pp. 3101–3111, 2020.

    Article  Google Scholar 

  26. B. **an, D. M. Dawson, M. S. deQueiroz, and J. Chen, “A continuous asymptotic tracking control strategy for uncertain nonlinear systems,” IEEE Transactions on Automatic Control, vol. 49, no. 7, pp. 1206–1206, 2004.

    Article  MathSciNet  Google Scholar 

  27. J. Yao, Z. Jiao, D. Ma, and L. Yan, “High-accuracy tracking control of hydraulic rotary actuators with modeling uncertainties,” IEEE/ASME Transactions on Mechatronics, vol. 19, no. 2, pp. 633–641, 2014.

    Article  Google Scholar 

  28. J. Pančík and P. Maxera, “Control of hydraulic pulse system based on the PLC and state machine programming,” Designs, vol. 2, no. 4, pp. 48–57, 2018.

    Article  Google Scholar 

  29. K. Wang, S. Sheng, Y. Zhang, Y. Ye, J. Jiang, H. Lin, Z. Huang, Z. Wang, and Y. You, “Principle and control strategy of pulse width modulation rectifier for hydraulic power generation system,” Renewable Energy, vol. 135, no. 6, pp. 1200–1206, 2019.

    Article  Google Scholar 

  30. P. Zagar, H. Kogler, R. Scheidl, and B. Winkler, “Hydraulic switching control supplementing speed variable hydraulic drives,” Actuators, vol. 9, no. 4, pp. 129–141, 2020.

    Article  Google Scholar 

  31. G. Kalaiarassan and K. Krishnamurthy, “Digital hydraulic single-link trajectory tracking control through flow-based control,” Measurement and Control, vol. 52, no. 7–8, pp. 775–787, 2019.

    Article  Google Scholar 

  32. H. Kogler, M. Schöberl, and R. Scheidl, “Passivity-based control of a pulse-width mode operated digital hydraulic drive,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 233, no. 6, pp. 656–665, 2018.

    Google Scholar 

  33. H. Kogler and R. Scheidl, “Linear motion control with a low-power hydraulic switching converter - Part II: Flatness-based control,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 229, no. 9, pp. 818–828, 2015.

    Google Scholar 

  34. N. Nakata, “Error analysis of digitally controlled servo hydraulic actuators for structural testing,” Journal of Earthquake Engineering, vol. 15, no. 6, pp. 901–923, 2011.

    Article  Google Scholar 

  35. C. Stauch and J. Rudolph, “Control-oriented modelling and development of a model-based switching algorithm for a digital hydraulic independent metering cylinder drive,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 231, no. 2, pp. 66–81, 2016.

    Google Scholar 

  36. R. Haas and E. Lukachev, “Optimal feed-forward control of a digital hydraulic drive,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 231, no. 2, pp. 94–106, 2016.

    Google Scholar 

  37. H. Kogler, “High dynamic digital control for a hydraulic cylinder drive,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 236, no. 2, pp. 382–394, 2021.

    Google Scholar 

  38. J. Yao and W. Deng, “Active disturbance rejection adaptive control of hydraulic servo systems,” IEEE Transactions on Industrial Electronics, vol. 64, no. 10, pp. 8023–8032, 2017.

    Article  Google Scholar 

Download references

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Correspondence to Hui Yu.

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The authors declare that there is no conflict of interest regarding the publication of this paper, and the research does not involve human participants and/or animals.

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This work was supported in part by National Nature Science Foundation of China (52104087, 52174116), and in part by the Key Public Relations Project of Liaoning Province (LJ2019ZL005).

Hui Yu received her B.S. degree in mechanical engineering from Liaoning Technical University, Fuxin, China. She is currently pursuing a doctoral degree in mechanical engineering at Liaoning Technical University, researching electromechanical servo systems and hydraulic servo system control.

Hui Wang received his B.E. degree in mechanical engineering from Liaoning Technical University, Fuxin, China, in 1982, and a Ph.D. degree in mechatronic engineering from the Harbin Institute of Technology, Harbin, China, in 2005. He is currently a professor and a doctoral supervisor with the school of mechanical engineering, Liaoning Technical University. His current research interests include nonlinear control, adaptive control, and hydraulic servo system control.

Chenguang Guo obtained his Ph.D. degree from the institute of advanced manufacturing and automation technology at Northeastern University. He is now an associate professor and doctoral supervisor of the school of mechanical engineering of Liaoning Technical University, Fuxin, China. Mainly engaged in research on advanced manufacturing systems and automation technology.

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Yu, H., Wang, H. & Guo, C. Analysis of Bandwidth Expansion and Interference Suppression of Digital Hydraulic Cylinder System. Int. J. Control Autom. Syst. 22, 1739–1750 (2024). https://doi.org/10.1007/s12555-022-0589-3

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  • DOI: https://doi.org/10.1007/s12555-022-0589-3

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