Dynamic modelling of 2-DOF luffing mechanism with serial closed kinematic chains

Zhen-xin Zhu , Jian-xin Zhu , Hui-mei Kang , Huan-yun Qian

Journal of Central South University ›› 2021, Vol. 28 ›› Issue (1) : 168 -178.

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Journal of Central South University ›› 2021, Vol. 28 ›› Issue (1) : 168 -178. DOI: 10.1007/s11771-021-4594-0
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Dynamic modelling of 2-DOF luffing mechanism with serial closed kinematic chains

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Abstract

Luffing mechanism is a key component of the construction machinery. This paper proposes a two degree of freedom (2-DOF) luffing mechanism, which has one more pair of driving cylinders than the single DOF luffing mechanism, to improve the performance of the machinery. To establish the dynamic model of the 2-DOF luffing mechanism, firstly, we develop a hierarchical method to deduce the Jacobian matrix and Hessian matrix for obtaining the kinematics equations. Subsequently, we divide the luffing mechanism into six bodies considering actuators, and deduce the kinetic equations of each body by the Newton-Euler method. Based on the dynamic model, we simulate the luffing process. Finally, a prototype is built on a pile driver to validate the model. Simulations and experiments show that the dynamic model can reflect the dynamic properties of the proposed luffing mechanism. And the control strategy that the front cylinders retract first shows better mechanical behavior than the other two control strategies. This research provides a reference for the design and application of 2-DOF luffing mechanism on construction machinery. The modeling approach can also be applied to similar mechanism with serial closed kinematic chains, which allows to calculate the dynamic parameters easily and exactly.

Keywords

luffing mechanism / dynamic model / hierarchical method / control strategy / prototype

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Zhen-xin Zhu, Jian-xin Zhu, Hui-mei Kang, Huan-yun Qian. Dynamic modelling of 2-DOF luffing mechanism with serial closed kinematic chains. Journal of Central South University, 2021, 28(1): 168-178 DOI:10.1007/s11771-021-4594-0

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References

[1]

JinY, HeX, XiaY-m, KangH-mei. Coupled modeling simulation and kinematics analysis of luffing mechanism for mobile crane [J]. Journal of Machine Design, 2017, 34(9): 12-17(in Chinese)

[2]

LinX-t, LinX-h, HuangW, WangN-S. Compound genetics annealing optimal algorithm for realization of locus deduction of a plane link [J]. Journal of Southeast University (English Edition), 2002, 18(4): 310-314

[3]

KangH-m, HeQ-h, ZhuJ-xin. Dynamic modeling and simulation of mast link frame system of rotary drilling rig [J]. Journal of Central South University (Science and Technology), 2010, 41(2): 532-538(in Chinese)

[4]

ZhuJ-x, XieS-y, HuX-w, LiX. Simulation analysis of the lifting force of parallelogram cylinder of the parallelogram system of rotary drilling rig based on ADAMS [J]. Modern Manufacturing Engineering, 2009, 11: 119-123(in Chinese)

[5]

HeQ-h, KangH-m, ZhuJ-x, XuY-she. Dynamic mechanical properties of working device of rotary drilling rig under lift arm luffing conditions [J]. Journal of Central South University (Science and Technology), 2012, 43(6): 122-126(in Chinese)

[6]

KangH-m, HeQ-h, XieS-y, ZhuJ-xin. Mechanics analysis of rotary drilling rig under drilling bucket-lifting conditions [J]. Engineering Mechanics, 2010, 27(10): 214-218(in Chinese)

[7]

ZhaoW-m, JiangW-g, ZuH-y, HuC-S. Impact of amplitude angle for rotary drilling machine [J]. Construction Mechanization, 2008, 6: 36-38(in Chinese)

[8]

SunG-f, LiuJDynamic responses of hydraulic crane during luffing motion, mechanism and machine theory [J], 2006, 41: 1273-1288

[9]

WangP-j, FangY-c, XiangJ-l, ZhaoZ-jie. Dynamics analysis and modeling of ship mounted boom crane [J]. Journal of Mechanical Engineering, 2011, 47(20): 34-40 in Chinese)

[10]

JiangT, YouY-p, YangH, WangA-L. Integrated model based analysis of mast mechanism of rotary drilling rig and its dynamic characteristics [J]. Journal of Tongji University, 2012, 40(5): 729-734(in Chinese)

[11]

HuJ-p, LiK-jun. Dynamics model of mechanical hydraulic coupling of auger driller during luffing motion by bond graph [J]. Journal of Central South University (Science and Technology), 2016, 47(2): 495-502(in Chinese)

[12]

ZhuJ-g, ChenM-g, LiuA-N, LengJ. Finite element analysis for the working equipment of drilling rigs [J]. Agricultural Equipment & Vehicle Engineering, 2007, 2: 24-27(in Chinese)

[13]

FanQ, ZengY. Design of luffing system with genetic algorithm by considering weight of each optimized goal [J]. Chinese Journal of Construction Machinery, 2013, 11(4): 324-326(in Chinese)

[14]

ZhangY. Analysis and optimization of luffing mechanism of ZMK5530TZJ100 carrier mounted rig [J]. Journal of Machine Design, 2019, 36(3): 67-72(in Chinese)

[15]

HuJ-p, PengY-ming. Optimization of hinge point position of auger driller luffing mechanism based on PSO algorithm [J]. Chinese Journal of Engineering Design, 2018, 25(5): 561-566596. (in Chinese)

[16]

CabreraJ A, simonA, PradoM. Optimal synthesis of mechanisms with genetic algorithms [J]. Mech Mach Theory, 2002, 37: 1165-1177

[17]

XuX-s, HuJ-quan. Parameter optimization design based on hybrid neural network of gantry crane luffing mechanism [J]. Chinese Journal of Mechanical Engineering, 2005, 41(4): 220-224 in Chinese)

[18]

ZhaoQ, TongS-g, ZhongW, GeJ-xu. Optimal design of luffing mechanism of portal crane based on genetic algorithm and finite element analysis [J]. Journal of Zhejiang University (Engineering Science), 2015, 49(5): 880-886(in Chinese)

[19]

Abo-shanabR F. Dynamic modeling of parallel manipulators based on Lagrange-D’Alembert formulation and Jacobian/Hessian matrices [J]. Multibody System Dynamics, 2019, 48(4): 403-426

[20]

HeJ, ZhengH-c, GaoF. Dynamics and control of a 7-DOF hybrid manipulator for capturing a non-cooperative target in space [J]. Mechanism and Machine Theory, 2019, 140(10): 83-103

[21]

QIAN Huan-yun, CHEN Zi-lin, SHI Xiao-hui, LI Hai-jian. A pile driver and its installation and applying method: Korea, 10-1894388 [P]. 2018-08-28.

[22]

WittenburgJDynamics of systems of rigid bodies [M], 1977, Stuttgart, B.G. Teubner, 82124 in Chinese)

[23]

KosticD, DejagerB, SteinbuchM, HensenR. Modeling and identification for high-performance robot control: An RRR-robotic arm case study [J]. IEEE Transactions on Control Systems Technology, 2004, 12(6): 904-919

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