Performance Evaluation of Sliding Mode Control (SMC) for DC Motor Speed Control

Authors

  • Dimas Dwika Saputra Universitas Ahmad Dahlan
  • Alfian Ma'arif Universitas Ahmad Dahlan http://orcid.org/0000-0002-3482-971X
  • Hari Maghfiroh Universitas Sebelas Maret
  • Muhammad Ahmad Baballe Kano State Polytechnic
  • Angelo Marcelo Tusset Federal University of Technology – Paraná
  • Abdel-Nasser Sharkawy (1) Mechanical Engineering Department, Faculty of Engineering, South Valley University, Qena 83523, Egypt (2) Mechanical Engineering Department, College of Engineering, Fahad Bin Sultan University, Tabuk 47721, Saudi Arabia
  • Rania Majdoubi LCS Laboratory, Faculty of Sciences, Mohammed V University in Rabat

DOI:

https://doi.org/10.26555/jiteki.v9i2.26291

Abstract

DC motor is an industrial motor that is practical for many applications and implementations. However, the speed of a DC motor often decreases because of the given load, thus causing it to be unstable and inconstant. In addition, parameter uncertainty is another issue of DC motors. The performance of the system will be impacted by the uncertainty. Therefore, in this study, SMC is used as speed control of the DC motor since it can handle non-linear plants. The performance also compares with PID to know the effectiveness of the SMC method in DC motor speed control. This study proposes a hardware design and implementation of DC motor angular speed control on Arduino UNO as an embedded control system. The performance comparison analysis results proved that both controllers could perform well. However, both controllers need further fine-tuning. There are still overshoot and steady-state errors for PID and SMC, respectively. In future work, the optimization method can be used to find the optimal gain or by combining it with an adaptive algorithm.

Author Biography

Alfian Ma'arif, Universitas Ahmad Dahlan

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Published

2023-07-10

How to Cite

[1]
D. D. Saputra, “Performance Evaluation of Sliding Mode Control (SMC) for DC Motor Speed Control”, J. Ilm. Tek. Elektro Komput. Dan Inform, vol. 9, no. 2, pp. 502–510, Jul. 2023.

Issue

Vol. 9 No. 2 (2023): June

Section

Articles

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