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Active Vibration Control of Swash Plate-Type Axial Piston Machines with Two-Weight Notch Least Mean Square/Filtered-x Least Mean Square (LMS/FxLMS) Filters

Author

Listed:
  • Taeho Kim

    (Maha Fluid Power Research Center, Purdue University, Lafayette, IN 47905, USA)

  • Monika Ivantysynova

    (Maha Fluid Power Research Center, Purdue University, Lafayette, IN 47905, USA)

Abstract

In this paper, swash plate active vibration control techniques were investigated utilizing the weight-limited multi-frequency two-weight notch Least Mean Square (LMS) filter with unit delay compensation and multi-frequency two-weight notch Filtered-x Least Mean Sqaure (FxLMS) filter with offline modeling to achieve adjustable swash plate vibration reduction at the desired frequency. Simulation studies of the high fidelity pump control system model including realistic swash plate moments are presented to demonstrate the feasibility of the swash plate active vibration control. A 75-cm 3 /rev swash plate type axial piston pump was modified to implement a high bandwidth pump control system which is required for canceling the swash plate vibration. High speed real-time controllers were proposed and realized using an National Instrument LabVIEW Field Programmable Gate Array (FPGA). Vibration measurements using a tri-axial swash plate acceleration sensor were conducted to show the influence and effectiveness of the proposed swash plate active vibration control system and algorithms.

Suggested Citation

  • Taeho Kim & Monika Ivantysynova, 2017. "Active Vibration Control of Swash Plate-Type Axial Piston Machines with Two-Weight Notch Least Mean Square/Filtered-x Least Mean Square (LMS/FxLMS) Filters," Energies, MDPI, vol. 10(5), pages 1-16, May.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:645-:d:97829
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    Citations

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    Cited by:

    1. Andrea Vacca, 2018. "Energy Efficiency and Controllability of Fluid Power Systems," Energies, MDPI, vol. 11(5), pages 1-6, May.
    2. Juan Zhai & Shengquan Li & Zhuang Xu & Luyao Zhang & Juan Li, 2022. "Reduced-Order Extended State Observer-Based Sliding Mode Control for All-Clamped Plate Using an Inertial Actuator," Energies, MDPI, vol. 15(5), pages 1-12, February.
    3. Sangbeom Woo & Andrea Vacca, 2020. "Experimental Characterization and Evaluation of the Vibroacoustic Field of Hydraulic Pumps: The Case of an External Gear Pump," Energies, MDPI, vol. 13(24), pages 1-26, December.
    4. Xiaoya Shang & Zhigang Li & Tianyao Ji & P. Z. Wu & Qinghua Wu, 2017. "Online Area Load Modeling in Power Systems Using Enhanced Reinforcement Learning," Energies, MDPI, vol. 10(11), pages 1-17, November.

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