According to the requirement of fast-growing forest pruning operation, the pruning robotwas developed.The structure and control system of pruning robot were described, the work flow of pruning robot was expounded. The type and structure of the drivingmotor and the compression springwere decided with force-balance analysis. The tilt problem of pruning robot was resolved by ADAMS and Matlab co-simulation, and the control scheme of climbing mechanism was determined. The experiment results of the prototype indicate that pruning robot can climb tree trunk smoothly at a speed of 20 mm/s and cross the raised trunk. The pruning saw which is driven by the adjustable speed motor can cut the branches of 30 mm. And the residual amount of branches is less than 5 mm. Pruning robot can meet the practical requirements of the fast-growing forest pruning work.
Guang-Hua Fu
,
Xue-Mei Liu
,
Yan-Fu Chen
,
Jin Yuan
. Fast-growing forest pruning robot structure design and climbing control[J]. Advances in Manufacturing, 2015
, 3(2)
: 166
-172
.
DOI: 10.1007/s40436-015-0114-5
1. Huang Y, Yuan YF, Kong HW (2002) The effect of pruning on growth and wood mechanical properties of Pinus koraiensis. J Northeast For Univ 01:76-77
2. Kim S, Spenko M, Trujillo S (2008) Smooth vertical surface climbing with directional adhesion. IEEE Trans Rob 24:65-74
3. Kawasaki H, Murakami S, Hirai K et al (2008) Novel climbing method of pruning robot. In: Proceedings of SICE Annual Conference2008, Japan, pp 160-163
4. Ueki S, Kawasaki H, Ishigure Y et al (2011) Development and testal study of a novel pruning robot. Artif Life Robot 16:86-89
5. Fauroux J, Morillon J (2010) Design of a climbing robot for cylindro-conic poles based on rolling self-locking. Ind Robot37(3):287-292
6. Li SW, Wang SY, Wang H et al (2008) Tree pruning cut machinery present situation and development trend. For Mach Woodwork Equip 01:15-16
7. Xu J (2011) Study on the fuzzy-controlled driving system of plantation pruning robot. Dissertation, Northeast Forestry University, Harbin, China
8. Wang C, Zhang H, Yu J (2013) Analysis on working principle and existing problem of the pruning machinery of garden and fruit industry. Guangdong Agric Sci 03:176-178
9. Liu GZ (2006) The mechanism design and kinematics analysis of climbing tree robot. Dissertation, Harbin Engineering University, Harbin, China
10. Sun W, Huang HS, Wang JL et al (2013) A new type of tree climbing device and its theoretical analysis. For Mach Woodwork Equip 41:20-22
11. Liu JZ, Liu W, Mao HP et al (2014) Design and coordinated motion simulation of transplanting robot for column cultivation. Trans Chin Soc Agric Mach 45(7):48-53
12. Xiong JT, Ye M, Zou XJ et al (2013) System design and performance analysis on multi-type fruit harvesting robot. Trans Chin Soc Agric Mach 44(Supp1):230-235
13. Du YF, Zhu ZX, Mao ER et al (2011) Simulation on small-scale corn harvester for hilly area based on ADAMS. Trans Chin Soc Agric Mach 42(Z1):1-5
14. Du YF, Mao ER, Song ZH et al (2011) Simulation on corn plants in harvesting process based on ADAMS. Trans Chin Soc Agric Mach 43(Z1):106-111
15. Li YH, Nie LX (2010) ADAMS virtual prototype-based multibody system dynamics simulation. Eng J Wuhan Univ43:757-761
16. Chen K, Yang XJ, Yan H et al (2013) Design and parameter optimization of seedling pick-up mechanism based on Matlab. Trans Chin Soc Agric Mach 44(Supp1):24-26
17. Alan W (2008) Study of fuzzy control for controllable suspension based on ADAMS and Matlab co-simulation. In: Proceedings of2008 International Conference on Modelling, Identification and Control, Innsbruck, Austria, February 2008
18. Xu JZ, Diao Y, Luo H et al (2012) Matlab/Simulink and ADAMS based co-simulation for self-balance robot. Mod Electron Tech35:90-92
19. Song KP, Hu PH, Li BS (2007) A control system for parallel manipulator based on Matlab and MCU. Trans Chin Soc Agric Mach 38(5):147-149
20. Ying ZE, Ping XL, Chen LG (2012) Co-Simulation of doubleloop PID control inverted pendulum based on ADAMS and Matlab. J Mech Transm 36:64-67
21. Huang KY, Chen Q (2012) Robot motion control based on digital PID algorithm. Autom Appl 12:73-75