• DocumentCode
    3134777
  • Title

    Adaptive control of hydraulic excavator manipulator

  • Author

    Zhang, Daqing ; He, Qinghua ; Wu, Xuan ; Zhang, Yunlong ; Zhao, Yuming

  • Author_Institution
    Sunward Intell. Equip. Co., Ltd., Changsha, China
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    1835
  • Lastpage
    1839
  • Abstract
    The retrofitted electro-hydraulic system and hardware architecture of control system for hydraulic robotic excavator was introduced; the model of electro-hydraulic system was derived according to the principle of LUDV system. on the base of the above and results of experiments, the model was simplified, and the reference model for control was given; An adaptive controller (AC) and the adaptive control law were developed from the local parameter optimum. The test experiment on the trajectory tracking control of the excavator bucket tip was carried out, The result of tracking objective line for the AC and PID controller were present respectively. Form these results, the errors between the tested data and the target data for PID controller are more than 110mm when the level tracking velocity of the bucket speed was 107mm/s; for AC in this paper are less than 100mm at the speed of 135mm/s, the maximal nonlinearity is reduced to 3.8% from 4.8%. It shows that the proposed AC in this paper is valid and feasible.
  • Keywords
    adaptive control; control nonlinearities; excavators; hydraulic systems; industrial robots; maintenance engineering; mining equipment; three-term control; tracking; trajectory control; AC; LUDV system principle; PID controller; adaptive control law; bucket speed; control system hardware architecture; excavator bucket tip; hydraulic excavator manipulator; hydraulic robotic excavator; level tracking velocity; load independent flow distribution system; local parameter optimum; maximal nonlinearity reduction; reference model control; retrofitted electro-hydraulic system; target data; tested data; tracking objective line; trajectory tracking control; Adaptation models; Adaptive control; Control systems; Educational institutions; Mathematical model; Robots; Valves; Excavator; adaptive control; electro-hydraulic; proportional system; trajectory tracing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-1275-2
  • Type

    conf

  • DOI
    10.1109/ICMA.2012.6285100
  • Filename
    6285100