DocumentCode :
497371
Title :
Reseach of Driving Control System of a Felling and Bunching Robot
Author :
Lu Huaimin ; Guo Xiuli ; Guo Xiurong ; Zhao Zhiqiang
Author_Institution :
Coll. of Mech. & Electr. Eng., Northeast Forestry Univ., Harbin, China
Volume :
1
fYear :
2009
fDate :
11-12 April 2009
Firstpage :
841
Lastpage :
844
Abstract :
In order to improve the efficiency of felling trees and ensure the safety of felling worker, a robot which can fell and bunch is developed. This robot adopts SDWY-60 caterpillar excavator as a walking mechanism and equips a manipulator with 6 degrees of freedom and a RBF neural network controller, which can be operated by hand or automation. The main technical parameters of the robot are as follows: the operating range is 4~10.5 m the breast diameter of the standing tree is 16~30 cm. The practical test shows that the RBF neural network controller based on Kalman filtering researched in this paper can control the manipulator to fell and bunch accurately. It not only can work safely and reliably, but also can greatly improve the work efficiency, which is about 8~10 times than that of manual felling and bunching.
Keywords :
Kalman filters; adaptive control; excavators; forestry; fuzzy control; intelligent robots; manipulators; mobile robots; neurocontrollers; occupational safety; radial basis function networks; self-adjusting systems; vegetation; 6-dof manipulator; Kalman filtering; RBF neural network controller; SDWY-60 caterpillar excavator; bunching robot; felling robot; felling tree; felling worker safety; forestry; fuzzy self-adaptive controller; intelligent robot driving control system; walking mechanism; work efficiency improvement; Automatic control; Breast; Control systems; Legged locomotion; Manipulators; Neural networks; Robotics and automation; Robots; Safety; Testing; RBF Neural Network controller; felling and bunching; fuzzy self-adaptive Kalman filtering; robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
Type :
conf
DOI :
10.1109/ICMTMA.2009.207
Filename :
5203102
Link To Document :
بازگشت