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
Link To Document :
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