Adaptive robust pressure control of variable displacement axial piston pumps with a modified reduced-order dynamic model

Bobo Helian, Pauli Mustalahti, Jouni Mattila, Zheng Chen, Bin Yao

Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

Abstrakti

Variable displacement axial piston pumps (VDAPPs) are wildly used in mobile working machines and they play a key role in machine's energy-saving load sensing (LS) systems. Typically, electric load sensing (ELS) systems utilize traditional linear control methods, which only can realize limited control flexibility and performance. This study proposes and experimentally verifies an adaptive robust pressure control strategy for a VDAPP system. To facilitate the model-based controller design, a modified reduced-order dynamic modeling of VDAPPs is proposed. Furthermore, an adaptive robust backstepping control strategy is designed to deal with the dynamic nonlinearities and parametric uncertainties of the VDAPP system for achieving accurate pressure tracking. The controller design consists of two steps, processing the pump pressure tracking and the axial angle control, respectively. Comparative experiments and simulations with different working conditions were performed to validate the advantages of the proposed control strategy. The proposed controller achieved higher pressure tracking accuracy and it showed great capability in dealing with dynamic nonlinearities, uncertainties, and time-varying disturbances.

AlkuperäiskieliEnglanti
Artikkeli102879
JulkaisuMechatronics
Vuosikerta87
DOI - pysyväislinkit
TilaE-pub ahead of print - 19 elok. 2022
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Julkaisufoorumi-taso

  • Jufo-taso 2

!!ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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