Part of the book series:Lecture Notes in Computer Science ((LNAI,volume 10464))
Included in the following conference series:
5140Accesses
Abstract
In this paper, an inverse kinematics analysis algorithm of a robot is proposed based on the analysis of the configuration and kinematics of the robot. With the inverse kinematics method, the working path of the robot’s joints is planned. Based on multi-body dynamics, finite element analysis, topology optimization and PID control, using co-simulation, this paper presents the method including Structural Optimization, Mechanical System Optimization and Controller Optimization. The main bearing part (large arm) is selected as the optimization object, in order to improve the repeated positioning accuracy of the robotic robot and verify the collaborative optimization methods, the effectiveness of the method is improved by comparing the error of the end position with the same working path by comparing the robotic system before and after the collaborative optimization.
This is a preview of subscription content,log in via an institution to check access.
Access this chapter
Subscribe and save
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
Buy Now
- Chapter
- JPY 3498
- Price includes VAT (Japan)
- eBook
- JPY 11439
- Price includes VAT (Japan)
- Softcover Book
- JPY 14299
- Price includes VAT (Japan)
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Grujicic, M.F., Arakere, G.S., Pisu, P.T.: Application of topology, size and shape optimization methods in polymer metal hybrid structural lightweight engineering. Multidiscipline Model. Mater. Struct.4(4), 305–330 (2008)
Lee, S.H.F., Kim, J.S., Park, F.C.T.: Newton-type algorithms for dynamics-based robot movement optimization. IEEE Trans. Robot.21(4), 657–667 (2005)
Liu, L.F., Wang, G.D.S., Xiao, R.Y.T.: Optimization of the method to palletize firebricks by robot based on pareto genetic algorithm. In: Applied Mechanics and Materials 2014, vol. 620, pp. 337–342. Trans Tech Publications (2014)
Lim, K.B.F., Junkins, J.L.S.: Robustness optimization of structural and controller parameters. J. Guidance Control & Dyn.12(12), 89–96 (2012)
Deng, K.F., Pan, P.S., Sun, J.T.: Shape optimization design of steel shear panel dampers. J. Constr. Steel Res.99, 187–193 (2014)
Bourdin, B.F., Kohn, R.V.S.: Optimization of structural topology in the high-porosity regime. J. Mech. Phys. Solids56(3), 1043–1064 (2004)
Tai, K.F., Wang, S.S., Akhtar, S.T.: Structural topology optimization using a genetic algorithm and a morphological representation of geometry. Dissertations & Theses – Gradworks599, 319–323 (2003)
Sigmund, O.F., Maute, K.S.: Topology optimization approaches. Struct. Multi. Optim.48(6), 1031–1055 (2013)
Acknowledgment
Thanks for all the team members for their outstanding contributions to the project. Special thanks to Anping Chen Engineer for his guidance during the research.
Author information
Authors and Affiliations
18th Institute of CALT, Beijing, China
Yuanchao Cheng, Ke Li, Fan Yang, Songbo Deng, Yanbo Wang & Xuman Zhang
Science and Technology on Space Physics Laboratory, Beijing, China
Yuanyuan Chang
- Yuanchao Cheng
You can also search for this author inPubMed Google Scholar
- Ke Li
You can also search for this author inPubMed Google Scholar
- Fan Yang
You can also search for this author inPubMed Google Scholar
- Songbo Deng
You can also search for this author inPubMed Google Scholar
- Yuanyuan Chang
You can also search for this author inPubMed Google Scholar
- Yanbo Wang
You can also search for this author inPubMed Google Scholar
- Xuman Zhang
You can also search for this author inPubMed Google Scholar
Corresponding author
Correspondence toYuanchao Cheng.
Editor information
Editors and Affiliations
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
YongAn Huang
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Hao Wu
Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom
Honghai Liu
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Zhouping Yin
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Cheng, Y.et al. (2017). Collaborative Optimization of Robot’s Mechanical Structure and Control System Parameter. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10464. Springer, Cham. https://doi.org/10.1007/978-3-319-65298-6_61
Download citation
Published:
Publisher Name:Springer, Cham
Print ISBN:978-3-319-65297-9
Online ISBN:978-3-319-65298-6
eBook Packages:Computer ScienceComputer Science (R0)
Share this paper
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative