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Research on Simulation of Motion Compensation for Omnidirectional Platform Based on Neural Network

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Informatics in Control, Automation and Robotics

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 132))

Abstract

In order to improve the accuracy of omnidirectional platform, this paper makes an analysis of kinematics and builds the dynamic virtual prototyping. The anisotropy of slippage and its influence on translation is simulated by virtual experiment. A method of neural network is proposed for nonlinear motion compensation. Simulation results show that motion error can be reduced and the performance is greatly improved, which indicates that the method is effective and feasible.

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References

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Author information

Authors and Affiliations

  1. Department of control engineering, Academy of Armored Force Engineering, FengTai District, DuJiaKan No.21, 100072, Beijing, China

    YuNan Zhang, ShuangShuang Wang, Peng Tian & YuHui Zhao

Authors
  1. YuNan Zhang
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  2. ShuangShuang Wang
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  3. Peng Tian
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  4. YuHui Zhao
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Editor information

Editors and Affiliations

  1. , School of Electronic Engineering, Wuhan Institute of Technology, Lvting yajing 10-3-102, Wuhan, 430079, China, People's Republic

    Honghua Tan

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhang, Y., Wang, S., Tian, P., Zhao, Y. (2011). Research on Simulation of Motion Compensation for Omnidirectional Platform Based on Neural Network. In: Tan, H. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25899-2_38

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  • DOI: https://doi.org/10.1007/978-3-642-25899-2_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25898-5

  • Online ISBN: 978-3-642-25899-2

  • eBook Packages: EngineeringEngineering (R0)

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