Abstract
The dynamic model of the flexible link manipulators (FLMs) is established and dynamic characteristic is analyzed in the paper. First, in order to improve the accuracy of the system, the model of the FLMs is constructed based on the assumed mode method with boundary conditions; second, the natural frequency and vibration mode functions are analyzed in detail. The residual vibration of the loaded flexible arm tip is derived. A simple controller is adopted to inhibit vibration. This research has provided a foundation for refinement of the FLMs model and for the active control of the vibration analysis, which possess a high practical value in engineering.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wu L, Yang G, Kuai X, Sun F. Flexible-link manipulator modeling, analysis and control. Beijing: Higher Education Press; 2012.
Jiang D. Nonlinear vibration research of the flexible manipulator in out-space environment. Shenyang: Northeastern University; 2010.
Benosman M, Vey GL. Control of flexible manipulators: a survey. Robotica. 2004;22(05):533–45.
Dwivedy SK, Eberhard P. Dynamic analysis of flexible manipulators, a literature review. Mech Mach Theory. 2006;41(07):749–77.
Liu X, Huang Y, Cui P, Xu Z. Modeling and dynamic characteristic analysis of flexible robotic arm. Noise Vib Control. 2014;34(06):7–11.
Liu LY, Yuan K. Noncollocated passivity-based PD control of a single-link flexible manipulator. Robotica. 2003;21(02):117–35.
Shahravi M, Kabganian M, Alasty A. Adaptive robust attitude control of a flexible spacecraft. Int J Robust Nonlinear Control. 2006;16(06):287–302.
Dai S, Wang C, Wang M. Dynamic learning from adaptive neural network control of a class of nonlinear systems. IEEE Trans Neural Netw Learn Syst. 2014;25(01):111–23.
Zhang S, He W, Huang D. Active vibration control for a flexible string system with input backlash. IET Control Theory Appl. 2016;10(07):800–5.
Li X. Vibration control study of flexible manipulator. Shenyang: Northeastern University; 2010.
Kumar N, Singh A. Development of an iterative learning based tip position controller of a flexible link robot. Int J Innov Eng Sci Manage. 2013;01(01):7–13.
He W, Ouyang Y, Hong J. Vibration control of a flexible robotic manipulator in the presence of input deadzone. IEEE Trans Ind Inf. 2017;13(01):48–59.
Zhu G, Ge SS, Lee TH. Simulation studies of tip tracking control of a single-link flexible robot based on a lumped model. Robotica. 1999;17(01):71–8.
Sakawa Y, Matsuno F, Fukushima S. Modeling and feedback control of a flexible arm. J Robotic Syst. 1985;02(04):453–72.
Lou J. Research on integrated control of trajectory tracking and vibration suppression of a space flexible manipulator system using piezoelectric actuators. Hangzhou: Zhejiang University; 2013.
Yang H. Study on dynamic modeling theory and experiments for rigid-flexible coupling systems. Shanghai: Shanghai Jiao Tong University; 2002.
Ding X. Research on robot control. Hangzhou: Zhejiang University Press; 2006.
Cui L, Zhang J, Gao L, Xiao Z. Research on dynamic modeling of flexible manipulator system. J Syst Simul. 2007;19(06):1205–8.
An K, Bi Y, Ma J. Vibration modal analysis of the single-link manipulator with end-effector payload. Opto-Electron Eng. 2016;43(07):22–7.
Acknowledgements
The author would like to thank the anonymous reviewers for their constructive and insightful comments for further improving the quality of this work. This work was supported by National Natural Science Foundation of China (No. 61520106010), National Key Technologies R&D Program (No. 2013BAB02B07) and National Natural Science Foundation of China (No. 61603362).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhang, Y., Li, Q., Zhang, W. (2018). Modeling and Dynamic Characteristic Analysis of Flexible Manipulator. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2017 Chinese Intelligent Systems Conference. CISC 2017. Lecture Notes in Electrical Engineering, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-10-6496-8_58
Download citation
DOI: https://doi.org/10.1007/978-981-10-6496-8_58
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-6495-1
Online ISBN: 978-981-10-6496-8
eBook Packages: EngineeringEngineering (R0)