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The Euler-Lagrange Equations of Motion for the Three-Link Planar RPR Robotic Arm

Year 2025, Volume: 8 Issue: 6, 1856 - 1863, 15.11.2025
https://doi.org/10.34248/bsengineering.1771804

Abstract

Robot design, motion planning, controller design, simulation and animation require dynamic modeling of robots. Several research studies demonstrate different methods for various mechanism configurations through their formulations and applications. However, the literature lacks any existing formulation or application of different methods for a three-link planar revolute-prismatic-revolute (RPR) robotic arm. This research introduces the Euler-Lagrange motion equations for a three-link planar RPR robotic arm. The Euler-Lagrange formulation uses kinetic and potential energy of mechanisms to establish its variational approach. The first step involves deriving the Lagrange equations together with their necessary derivatives. This study presents the Euler-Lagrange motion equations through sequential steps. The numerical examples are also provided and serve to validate the presented equations. This research adds knowledge to the dynamic modeling analysis of the three-link planar RPR robotic arm mechanism.

Ethical Statement

Ethics committee approval was not required for this study because there was no study on animals or humans.

Thanks

The author wishes to express his gratitude to Prof. Meng-Sang Chew, which indirectly made this work possible.

References

  • Akil A, Nouaiti A, Touati A, Rabbah N. 2025. Modeling and nonlinear backstepping control of a 3-DoF robot manipulator. Eng Technol Appl Sci Res, 15(3): 22459–22465.
  • Chander SA, Mukherjee A, Shivling VD, Singla A. 2024. Enhanced Euler–Lagrange formulation for analyzing human gait with moving base reference. J Mech Robot, 17(1): 011006.
  • Codourey A. 1998. Dynamic modeling of parallel robots for computed-torque control implementation. Int J Robot Res, 17(12): 1325-1336.
  • Denizhan O. 2023. Dynamic modelling of the spring attached two-link planar manipulator. Int J Comput Exp Sci Eng, 9(2): 133-140.
  • Gan D, Tsagarakis NG, Dai JS, Caldwell DG, Seneviratne L. 2013. Stiffness design for a spatial three degrees of freedom serial compliant manipulator based on impact configuration decomposition. J Mech Robot, 5(1):011002
  • Ghoul A, Djeffal S, Kara K, Aouaichia A. 2023. Dynamic modeling and control of continuum robots using an optimized PID control. In: International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS), Blida, Algeria, pp. 1-6.
  • Lee TS, Alandoli EA. 2020. A critical review of modelling methods for flexible and rigid link manipulators. J Braz Soc of Mech Sci Eng, 42(10): 508.
  • Mishra H, Garofalo G, Giordano AM, De Stefano M, Ott C, Kugi A. 2023. Reduced Euler-Lagrange equations of floating-base robots: computation, properties, & applications. IEEE Trans Robot, 39(2):1439-1457.
  • Muir PF, Neuman CP. 1987. Kinematic modeling of wheeled mobile robots. J Robot Syst, 4(2): 281-340.
  • Nguyen TQ, Phan VT, Vo DT, Trinh VH, Nquyen HV, Tran DT. 2021. Kinematics, dynamics and control design for a 4-dof robotic manipulator. In: International Conference on System Science and Engineering (ICSSE), Ho Chi Minh City, Vietnam, pp: 138-144.
  • Rösner M, Lammering R, Friedrich R. 2015. Dynamic modeling and model order reduction of compliant mechanisms. Precis Eng, 42: 85-92.
  • Roy S, Baldi S, Li P, Sankaranarayanan VN. 2021. Artificial-delay adaptive control for underactuated Euler–Lagrange robotics. IEEE/ASME Trans Mechatron, 26(6): 3064-3075.
  • Schultz JA, Sanders H, Bui PDH, Layer B, Killpack M. 2022. Modeling the dynamics of soft robots by discs and threads. In: International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, pp: 3223-3229.
  • Söylemez E. 2013. Makine Teorisi 2: Makine Dinamiği. Birsen Yayınevi, Istanbul, Türkiye, 1st ed., pp: 102-165.
  • Spong, MW, Hutchinson S, Vidyasagar M. 2006. Robot modeling and control. John Wiley Sons, Hoboken, NJ, USA, 2nd ed., pp: 163-215.
  • Swevers J, Verdonck W, De Schutter J. 2007. Dynamic model identification for industrial robots. IEEE Control Syst Mag, 27(5): 58-71.
  • Urrea C, Pascal J. 2018. Design, simulation, comparison and evaluation of parameter identification methods for an industrial robot. Comput Electr Eng, 67: 791-806.
  • Vinogradov O. 2000. Fundamentals of kinematics and dynamics of machines and mechanisms. CRC press, Boca Raton, Florida, USA, 1st ed., pp: 73-99.
  • Waldron KJ, Kinzel GL, Agrawal SK. 2016. Kinematics, dynamics, and design of machinery. John Wiley Sons, Hoboken, NJ, USA, 3rd ed., pp: 623-685.
  • Yin C. 2016. Design of reconfigurable planar parallel robot MSc thesis, Memorial University of Newfoundland, Fac Eng Appl Sci, Newfoundland and Labrador, pp: 67-96.
  • Yu J, Li X, Shi Y. 2025. Design and analysis of a pendulum driven spherical robot. In: IEEE International Conference on Mechatronics and Automation (ICMA), Beijing, China, pp: 13-18.

The Euler-Lagrange Equations of Motion for the Three-Link Planar RPR Robotic Arm

Year 2025, Volume: 8 Issue: 6, 1856 - 1863, 15.11.2025
https://doi.org/10.34248/bsengineering.1771804

Abstract

Robot design, motion planning, controller design, simulation and animation require dynamic modeling of robots. Several research studies demonstrate different methods for various mechanism configurations through their formulations and applications. However, the literature lacks any existing formulation or application of different methods for a three-link planar revolute-prismatic-revolute (RPR) robotic arm. This research introduces the Euler-Lagrange motion equations for a three-link planar RPR robotic arm. The Euler-Lagrange formulation uses kinetic and potential energy of mechanisms to establish its variational approach. The first step involves deriving the Lagrange equations together with their necessary derivatives. This study presents the Euler-Lagrange motion equations through sequential steps. The numerical examples are also provided and serve to validate the presented equations. This research adds knowledge to the dynamic modeling analysis of the three-link planar RPR robotic arm mechanism.

Ethical Statement

Ethics committee approval was not required for this study because there was no study on animals or humans.

Thanks

The author wishes to express his gratitude to Prof. Meng-Sang Chew, which indirectly made this work possible.

References

  • Akil A, Nouaiti A, Touati A, Rabbah N. 2025. Modeling and nonlinear backstepping control of a 3-DoF robot manipulator. Eng Technol Appl Sci Res, 15(3): 22459–22465.
  • Chander SA, Mukherjee A, Shivling VD, Singla A. 2024. Enhanced Euler–Lagrange formulation for analyzing human gait with moving base reference. J Mech Robot, 17(1): 011006.
  • Codourey A. 1998. Dynamic modeling of parallel robots for computed-torque control implementation. Int J Robot Res, 17(12): 1325-1336.
  • Denizhan O. 2023. Dynamic modelling of the spring attached two-link planar manipulator. Int J Comput Exp Sci Eng, 9(2): 133-140.
  • Gan D, Tsagarakis NG, Dai JS, Caldwell DG, Seneviratne L. 2013. Stiffness design for a spatial three degrees of freedom serial compliant manipulator based on impact configuration decomposition. J Mech Robot, 5(1):011002
  • Ghoul A, Djeffal S, Kara K, Aouaichia A. 2023. Dynamic modeling and control of continuum robots using an optimized PID control. In: International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS), Blida, Algeria, pp. 1-6.
  • Lee TS, Alandoli EA. 2020. A critical review of modelling methods for flexible and rigid link manipulators. J Braz Soc of Mech Sci Eng, 42(10): 508.
  • Mishra H, Garofalo G, Giordano AM, De Stefano M, Ott C, Kugi A. 2023. Reduced Euler-Lagrange equations of floating-base robots: computation, properties, & applications. IEEE Trans Robot, 39(2):1439-1457.
  • Muir PF, Neuman CP. 1987. Kinematic modeling of wheeled mobile robots. J Robot Syst, 4(2): 281-340.
  • Nguyen TQ, Phan VT, Vo DT, Trinh VH, Nquyen HV, Tran DT. 2021. Kinematics, dynamics and control design for a 4-dof robotic manipulator. In: International Conference on System Science and Engineering (ICSSE), Ho Chi Minh City, Vietnam, pp: 138-144.
  • Rösner M, Lammering R, Friedrich R. 2015. Dynamic modeling and model order reduction of compliant mechanisms. Precis Eng, 42: 85-92.
  • Roy S, Baldi S, Li P, Sankaranarayanan VN. 2021. Artificial-delay adaptive control for underactuated Euler–Lagrange robotics. IEEE/ASME Trans Mechatron, 26(6): 3064-3075.
  • Schultz JA, Sanders H, Bui PDH, Layer B, Killpack M. 2022. Modeling the dynamics of soft robots by discs and threads. In: International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, pp: 3223-3229.
  • Söylemez E. 2013. Makine Teorisi 2: Makine Dinamiği. Birsen Yayınevi, Istanbul, Türkiye, 1st ed., pp: 102-165.
  • Spong, MW, Hutchinson S, Vidyasagar M. 2006. Robot modeling and control. John Wiley Sons, Hoboken, NJ, USA, 2nd ed., pp: 163-215.
  • Swevers J, Verdonck W, De Schutter J. 2007. Dynamic model identification for industrial robots. IEEE Control Syst Mag, 27(5): 58-71.
  • Urrea C, Pascal J. 2018. Design, simulation, comparison and evaluation of parameter identification methods for an industrial robot. Comput Electr Eng, 67: 791-806.
  • Vinogradov O. 2000. Fundamentals of kinematics and dynamics of machines and mechanisms. CRC press, Boca Raton, Florida, USA, 1st ed., pp: 73-99.
  • Waldron KJ, Kinzel GL, Agrawal SK. 2016. Kinematics, dynamics, and design of machinery. John Wiley Sons, Hoboken, NJ, USA, 3rd ed., pp: 623-685.
  • Yin C. 2016. Design of reconfigurable planar parallel robot MSc thesis, Memorial University of Newfoundland, Fac Eng Appl Sci, Newfoundland and Labrador, pp: 67-96.
  • Yu J, Li X, Shi Y. 2025. Design and analysis of a pendulum driven spherical robot. In: IEEE International Conference on Mechatronics and Automation (ICMA), Beijing, China, pp: 13-18.
There are 21 citations in total.

Details

Primary Language English
Subjects Machine Theory and Dynamics
Journal Section Research Article
Authors

Onur Denizhan 0000-0001-8380-9507

Submission Date August 25, 2025
Acceptance Date September 28, 2025
Early Pub Date November 12, 2025
Publication Date November 15, 2025
Published in Issue Year 2025 Volume: 8 Issue: 6

Cite

APA Denizhan, O. (2025). The Euler-Lagrange Equations of Motion for the Three-Link Planar RPR Robotic Arm. Black Sea Journal of Engineering and Science, 8(6), 1856-1863. https://doi.org/10.34248/bsengineering.1771804
AMA Denizhan O. The Euler-Lagrange Equations of Motion for the Three-Link Planar RPR Robotic Arm. BSJ Eng. Sci. November 2025;8(6):1856-1863. doi:10.34248/bsengineering.1771804
Chicago Denizhan, Onur. “The Euler-Lagrange Equations of Motion for the Three-Link Planar RPR Robotic Arm”. Black Sea Journal of Engineering and Science 8, no. 6 (November 2025): 1856-63. https://doi.org/10.34248/bsengineering.1771804.
EndNote Denizhan O (November 1, 2025) The Euler-Lagrange Equations of Motion for the Three-Link Planar RPR Robotic Arm. Black Sea Journal of Engineering and Science 8 6 1856–1863.
IEEE O. Denizhan, “The Euler-Lagrange Equations of Motion for the Three-Link Planar RPR Robotic Arm”, BSJ Eng. Sci., vol. 8, no. 6, pp. 1856–1863, 2025, doi: 10.34248/bsengineering.1771804.
ISNAD Denizhan, Onur. “The Euler-Lagrange Equations of Motion for the Three-Link Planar RPR Robotic Arm”. Black Sea Journal of Engineering and Science 8/6 (November2025), 1856-1863. https://doi.org/10.34248/bsengineering.1771804.
JAMA Denizhan O. The Euler-Lagrange Equations of Motion for the Three-Link Planar RPR Robotic Arm. BSJ Eng. Sci. 2025;8:1856–1863.
MLA Denizhan, Onur. “The Euler-Lagrange Equations of Motion for the Three-Link Planar RPR Robotic Arm”. Black Sea Journal of Engineering and Science, vol. 8, no. 6, 2025, pp. 1856-63, doi:10.34248/bsengineering.1771804.
Vancouver Denizhan O. The Euler-Lagrange Equations of Motion for the Three-Link Planar RPR Robotic Arm. BSJ Eng. Sci. 2025;8(6):1856-63.

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