International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 6, Issue 9 (September 2019), Pages: 54-57

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 Original Research Paper

 Title: Lagrangian-Taylor differential transformation dynamics analysis of self-balancing inverted pendulum robot

 Author(s): Michael C. Agarana 1, 2, *, Esther T. Akinlabi 1, Olasunmbo O. Agboola 2

 Affiliation(s):

 1Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa
 2Department of Mathematics, Covenant University, Ota, Nigeria

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-2100-8282

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2019.09.008

 Abstract:

Robots are fast becoming a fixture in our lives. Kinematics and dynamics of self-balancing inverted pendulum robot modelled as an inverted are derived in this paper using Lagrange energy method. The derived equation of motion of the inverted pendulum robot was analyzed via Taylor differential transformation. Maple Computer software was used for the plotting of graphs for the result obtained. The results show that the position and motion of the inverted pendulum robot have a significant effect on achieving its self-balance. 

 © 2019 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Lagrangian, Taylor differential transformation, Inverted pendulum, Robot

 Article History: Received 7 July 2018, Received in revised form 5 July 2019, Accepted 6 July 2019

 Acknowledgement:

No Acknowledgement.

 Compliance with ethical standards

 Conflict of interest:  The authors declare that they have no conflict of interest.

 Citation:

 Agarana MC, Akinlabi ET, and Agboola OO (2019). Lagrangian-Taylor differential transformation dynamics analysis of self-balancing inverted pendulum robot. International Journal of Advanced and Applied Sciences, 6(9): 54-57

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 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4

 Tables

 No Table

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 References (8) 

  1. Agarana MC and Agboola OO (2015). Dynamic analysis of damped driven pendulum using Laplace transform method. International Journal of Mathematics and Computation, 26(3): 98-109.   [Google Scholar]
  2. Agarana MC and Bishop SA (2015). Quantitative analysis of equilibrium solution and stability for non-linear differential equation governing pendulum clock. International Journal of Applied Engineering Research, 10(24): 44112-44117.   [Google Scholar]
  3. Agarana MC and Emetere M (2016). Solving non-linear damped driven simple pendulum with small amplitude using a semi analytical method. ARPN Journal of Engineering and Applied Sciences, 11(7): 4478-4484.   [Google Scholar]
  4. Agarana MC and Iyase SA (2015). Analysis of hermite’s equation governing the motion of damped pendulum with small displacement. International Journal of Physical Sciences, 10(12): 364-370. https://doi.org/10.5897/IJPS2015.4364   [Google Scholar]
  5. Chen CJ and Wu WJ (1996). Application of the Taylor differential transformation method to viscous damped vibration of hard and soft spring system. Computers and Structures, 59(4): 631-639. https://doi.org/10.1016/0045-7949(95)00304-5   [Google Scholar]
  6. Hassan IAH (2008). Application to differential transformation method for solving systems of differential equations. Applied Mathematical Modeling, 32(12): 2552-2559. https://doi.org/10.1016/j.apm.2007.09.025   [Google Scholar]
  7. Matesica I, Nicolae M, Bărbulescu L, and Mărgeruşeanu AM (2016). Self-balancing robot implementing the inverted pendulum concept. In the 15th RoEduNet Conference: Networking in Education and Research, IEEE, Bucharest, Romania: 1-5. https://doi.org/10.1109/RoEduNet.2016.7753230   [Google Scholar]
  8. Yazdani A, Vahidi J, and Ghasempour S (2016). Comparison between differential transform method and Taylor series method for solving linear and nonlinear ordinary differential equations. International Journal of Mechatronics, Electrical and Computer Technology, 6(20): 2872-2877.   [Google Scholar]