Modeling and control of hydraulic excavator’s arm

Qing-hua He , Da-qing Zhang , Peng Hao , Hai-tao Zhang

Journal of Central South University ›› 2006, Vol. 13 ›› Issue (4) : 422 -427.

PDF
Journal of Central South University ›› 2006, Vol. 13 ›› Issue (4) : 422 -427. DOI: 10.1007/s11771-006-0061-1
Article

Modeling and control of hydraulic excavator’s arm

Author information +
History +
PDF

Abstract

In order to find a feasible way to control excavator’s arm and realize autonomous excavation, the dynamic model for the boom of excavator’s arm which was regarded as a planar manipulator with three degrees of freedom was constructed with Lagrange equation. The excavator was retrofitted with electrohydraulic proportional valves, associated sensors (three inclinometers) and a computer control system (the motion controller of EPEC). The full nonlinear mathematic model of electrohydraulic proportional system was achieved. A discontinuous projection based on an adaptive robust controller to approximate the nonlinear gain coefficient of the valve was presented to deal with the nonlinearity of the whole system, the error was dealt with by robust feedback and an adaptive robust controller was designed. The experiment results of the boom motion control show that, using the controller, good performance for tracking can be achieved, and the peak tracking error of boom angles is less than 4°.

Keywords

adaptive robust control / autonomous excavation / dynamic model / hydraulic excavator / motion control

Cite this article

Download citation ▾
Qing-hua He, Da-qing Zhang, Peng Hao, Hai-tao Zhang. Modeling and control of hydraulic excavator’s arm. Journal of Central South University, 2006, 13(4): 422-427 DOI:10.1007/s11771-006-0061-1

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Lee S U, Chang P H. Control of a heavy-duty robotic excavator using time delay Control with switching action with integral sliding surface[C] // Proceeding of the 2001 IEEE International Conference on Robitics & Automation. Seoul, 2001: 3955–3960.

[2]

Lee S U, Chang P H. Control of a heavy-duty robotic excavator using time delay control with integral sliding surface[J]. Control Engineering Practice, 2002 (10): 697–711.

[3]

BradleyD, SewardD. The development, control and operation of an autonomous robotic excavator [J]. Journal of Intelligent and Robotic Systems, 1998, 21: 73-97

[4]

NguyenH QRobust low level control of robotic excavation[D], 2000, Sydney, University of Sydney

[5]

PatrickS RAdaptive motion planning for autonomous mass excavation [D], 1999, Pittsburgh, Carnegie Mellon University

[6]

Masakazu H, Watanabe H, Kazuo F. Digging control system for hydraulic excavator [J]. Mechatronics, 2001(11): 665–676.

[7]

KoivoA J, ThomaM, KocaoglanE. Modeling and control of excavator dynamics during digging operation [J]. Journal of Aerospace Engineering, 1996, 9(1): 10-18

[8]

BU Fan-ping, YAO Bin. Nonlinear adaptive robust control of hydraulic actuators regulated by proportional directional control valves with dead band and nonlinear flow gains[C]// Proceedings of the American Control Conference Chicago. Illinois, 2000: 4129–4133.

[9]

ShahramT, PeterD L, SalcudeanS E. Identification of inertial and friction parameters for excavator arms [J]. IEEE Transactions on Robotics and Automation, 1999, 15(5): 966-971

[10]

WangJian-ZhiResearch on the working condition monitoring and automatic operation for hydraulic excavator[D], 1997, Hangzhou, Zhejiang University

[11]

BU Fan-ping, YAO Bin. Observer based coordinated adaptive robust control of robot manipulator driven by single-rod hydraulic actuators[C]// Proceeding of the 2000 IEEE International Conference on Robotics & Automation. San Francisco, 2000: 3034–3039.

[12]

LiHong-renHydraulic controlling system[M], 1981, Beijing, Defense Industry Press(in Chinese)

[13]

CHEN Qian-gen, JI Yun-feng, WU Wang-rong. Load independent flow distribution control system [J]. Hydraulic and Pneumatic, 2003(10): 10–11, (in Chinese)

[14]

YAO Bin. High performance adaptive robust control of nonlinear systems: a general framework and new schemes[C]// Proceeding of IEEE Conference on Decision and Control. Philadelphia, 1997: 2489–2494.

[15]

YAO Bin, Tomizuka M. Smooth robust adaptive sliding mode control of robot manipulators with guaranteed transient performance[C]// Proceeding of American Control Conference. Baltimore, 1994: 1176–1180.

[16]

QuangN HRobust low level control of robotic excavation[D], 2000, Sydney, University of Sydney

[17]

ZhangDa-qing, HeQing-hua, HaoPeng. Trajectory tracking control of hydraulic excavator bucket [J]. Journal of Jilin University: Engineering and Technology Edition, 2005, 35(5): 490-494

AI Summary AI Mindmap
PDF

103

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/