The Bidirectional Position control of the Prismatic joint for Motorized single link Robotic arm using Adaptive Super-Twisting Sliding Mode Control

  • Then Mozhi G. National Institute of Technology
  • Banu Sundareswari M. National Institute of Technology,Trichirappalli
  • Dhanalakshmi K. National Institute of Technology,Trichirappalli
Keywords: manipulator;, sliding mode control;, twisting mode, adaptive, dual layer SMC, motorized assembly, super-twisting SMC, adaptive SMC

Abstract

Dual layer adaptive super-twisting sliding mode control strategy (ASTSMC) designed for the position control of motor coupled flexible robotic arm is presented in this article.  The system is modeled using the constraints computed for the DC motor using the nonlinear least-square (NLS) parameter estimation method. The flexible manipulator is modeled using lumped parameter model approach and the fixed extremity of the flexure is positioned at the desired point by the DC motor and the lead-screw linear actuation system. The super twisting algorithm and adaptive law is employed to control the system and the results are compared with PID controller and classical SMC. The final position accuracy is ensured, and the positioning performance is enhanced by ASTSMC controller design, and the simulated and experimental results show that the design of the proposed integrated mechanism and control system based on ASTSMC is effective in achieving precision in the placement of the flexure.

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Author Biographies

Then Mozhi G., National Institute of Technology

Department of Instrumentation and Control Engineering

Banu Sundareswari M., National Institute of Technology,Trichirappalli

Department of Instrumentation and Control Engineering

Dhanalakshmi K., National Institute of Technology,Trichirappalli

Department of Instrumentation and Control Engineering

References

Banu Sundareswari M, Then Mozhi G and Dhanalakshmi K.”Angular control of differential shape-memory alloy spring actuator for underactuated dynamic system,” Journal of Vibration and Control. September 2021.

Josephine Selvarani Ruth D., Sunjai Nakshatharan, and Dhanalakshmi Kaliaperumal, “Differential resistance feedback control of a self-sensing shape memory alloy actuated system,” ISA transactions, vol. 53, pp.289-297,2013.

J. Becedas, G. Mamani, and V. Feliu. “Algebraic parameters identification of DC motors: methodology and analysis,” International Journal of Systems Science, vol.41,pp. 1241-1255,2010.

C. Sun, W. He and J. Hong, “Neural Network Control of a Flexible Robotic Manipulator Using the Lumped Spring-Mass Model,” IEEE Transactions on Systems, Man, and Cybernetics,vol.47, pp.1863-1874,2017.

Biricik H., Komurcugil H. Ahmed and E. Babaei. “Super Twisting Sliding-Mode Control of DVR With Frequency-Adaptive Brockett Oscillator,” IEEE Transactions on Industrial Electronics,vol.68, pp.10730-10739,2021.

Castillo-Berrio CF, Engin SN and Feliu-Batlle V. “A study on the tip tracking control of a single flexible beam,” Transactions of the Institute of Measurement and Control, vol. 38, pp.602–617,2017.

Mobayen, Saleh Tchier, Fairouz Ragoub and Lakhdar, “ Design of an adaptive tracker for n-link rigid robotic manipulators based on super-twisting global nonlinear sliding mode control,” International Journal of Systems Science.vol. 48, pp.1-44,2017.

Edwards, C. Shtessel and Yuri, “Adaptive Dual Layer Super-Twisting Control and Observation,” International Journal of Control.vol. 89,pp.1759-1766,2016.

Published
2021-12-15
How to Cite
G., T. M., M., B. S., & K., D. (2021). The Bidirectional Position control of the Prismatic joint for Motorized single link Robotic arm using Adaptive Super-Twisting Sliding Mode Control . PREPARE@u® | IEI Conferences. https://doi.org/10.36375/prepare_u.iei.a211
Section
- 36.IEC | Electrical Engineering