• DocumentCode
    515035
  • Title

    Research of a Logging Harvester in Plantation

  • Author

    Guo Xiuli ; Lu Huaimin ; Wang Zhenfeng

  • Author_Institution
    Coll. of Mech. & Electr. Eng., Northeast Forestry Univ., Harbin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    1064
  • Lastpage
    1067
  • Abstract
    With the mature stage of the fast-growing plantation in China, the traditional working procedure can not meet with the need of the large-scale clear-cutting. So, a logging harvester which can be operated by hand or automation is developed. The ZL-50 wheeled loader is adopted as its walking mechanism and a manipulator with 9 degrees of freedom, a three-dimensional laser-scanner and a RBF neural network controller are equipped. The multifunctional logging harvester is an intelligent equipment, which has many functions such as felling, limbing, measuring and cross-sawing. The main technical parameters of the harvester are as follows: the operating range is 4-10.5m,the breast diameter of the standing tree which can be felled is 8-26cm. The practical test shows that the harvester not only can work safely and reliably, but also can greatly improve the work efficiency, which is about 30-35 times than that of manual felling, limbing and bucking.
  • Keywords
    loading equipment; neurocontrollers; radial basis function networks; vegetation; woodworking machines; China; RBF neural network controller; ZL-50 wheeled loader; cross sawing; felling; intelligent equipment; limbing; logging harvester; manipulator; tree; Automatic control; Automation; Cooling; Hydraulic systems; Legged locomotion; Length measurement; Manipulators; Mechanical variables measurement; Neural networks; Rotation measurement; RBF Neural Network controller; hydraulic driving system; logging harvester;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.279
  • Filename
    5460192