Fast-growing forest pruning robot structure design and climbing control

Abstract

According to the requirement of fast-growing forest pruning operation, the pruning robot was 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 driving motor and the compression spring were 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.

Keywords

Fast-growing forest / Pruning robot / Structure / Co-simulation

References

[1] Huang Y, Yuan YF, Kong HW. The effect of pruning on growth and wood mechanical properties of Pinus koraiensis. J Northeast For Univ, 2002, 01: 76-77.

[2] Kim S, Spenko M, Trujillo S. Smooth vertical surface climbing with directional adhesion. IEEE Trans Rob, 2008, 24: 65-74.

[3] Kawasaki H, Murakami S, Hirai K et al (2008) Novel climbing method of pruning robot. In: Proceedings of SICE Annual Conference 2008, Japan, pp 160–163

[4] Ueki S, Kawasaki H, Ishigure Y, et al. Development and testal study of a novel pruning robot. Artif Life Robot, 2011, 16: 86-89.

[5] Fauroux J, Morillon J. Design of a climbing robot for cylindro-conic poles based on rolling self-locking. Ind Robot, 2010, 37(3): 287-292.

[6] Li SW, Wang SY, Wang H, et al. Tree pruning cut machinery present situation and development trend. For Mach Woodwork Equip, 2008, 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. Analysis on working principle and existing problem of the pruning machinery of garden and fruit industry. Guangdong Agric Sci, 2013, 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. A new type of tree climbing device and its theoretical analysis. For Mach Woodwork Equip, 2013, 41: 20-22.

[11] Liu JZ, Liu W, Mao HP, et al. Design and coordinated motion simulation of transplanting robot for column cultivation. Trans Chin Soc Agric Mach, 2014, 45(7): 48-53.

[12] Xiong JT, Ye M, Zou XJ, et al. System design and performance analysis on multi-type fruit harvesting robot. Trans Chin Soc Agric Mach, 2013, 44(Supp1): 230-235.

[13] Du YF, Zhu ZX, Mao ER, et al. Simulation on small-scale corn harvester for hilly area based on ADAMS. Trans Chin Soc Agric Mach, 2011, 42(Z1): 1-5.

[14] Du YF, Mao ER, Song ZH, et al. Simulation on corn plants in harvesting process based on ADAMS. Trans Chin Soc Agric Mach, 2011, 43(Z1): 106-111.

[15] Li YH, Nie LX. ADAMS virtual prototype-based multi-body system dynamics simulation. Eng J Wuhan Univ, 2010, 43: 757-761.

[16] Chen K, Yang XJ, Yan H, et al. Design and parameter optimization of seedling pick-up mechanism based on Matlab. Trans Chin Soc Agric Mach, 2013, 44(Supp1): 24-26.

[17] Alan W (2008) Study of fuzzy control for controllable suspension based on ADAMS and Matlab co-simulation. In: Proceedings of 2008 International Conference on Modelling, Identification and Control, Innsbruck, Austria, February 2008

[18] Xu JZ, Diao Y, Luo H, et al. Matlab/Simulink and ADAMS based co-simulation for self-balance robot. Mod Electron Tech, 2012, 35: 90-92.

[19] Song KP, Hu PH, Li BS. A control system for parallel manipulator based on Matlab and MCU. Trans Chin Soc Agric Mach, 2007, 38(5): 147-149.

[20] Ying ZE, Ping XL, Chen LG. Co-Simulation of double-loop PID control inverted pendulum based on ADAMS and Matlab. J Mech Transm, 2012, 36: 64-67.

[21] Huang KY, Chen Q (2012) Robot motion control based on digital PID algorithm. Autom Appl 12:73–75

Funding

Science and Technology Development Program of Shandong Province(2013GNC11203)

National Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809(51475278)

National Key Technology R&D Program(2014BAD08B01-2)