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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM62937

SLIDING MODE CONTROL BASED SPEED CONTROL OF DC MOTOR

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62937

Volume:

10 |

5 |

May 2026

Pages:

1-3

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

S

Srujana

Electrical and Electronics Engineering

Chaitanya Bharathi Institute of Technology

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N

Neeraj

Electrical and Electronics Engineering

Chaitanya Bharathi Institute of Technology

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T

Tejovathi

Electrical and Electronics Engineering

Chaitanya Bharathi Institute of Technology

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Mentors

DD

Dr.Madhulika Das

Electrical and Electronics Engineering

Chaitanya Bharathi Institute of Technology

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Abstract

This paper presents a detailed implementation of Sliding Mode Control (SMC) for the speed control of a DC motor. DC motors are extensively used in industrial applications due to their simplicity, reliability, and ease of control. However, conventional control methods such as PI and PID controllers suffer from performance degradation under parameter variations and external disturbances. To overcome these limitations, a robust nonlinear control technique based on Sliding Mode Control is proposed. The controller ensures high accuracy, fast dynamic response, and strong disturbance rejection capability. The mathematical modeling of the DC motor is developed, and the SMC control law is derived using the sliding surface approach. Simulation results obtained from MATLAB/Simulink demonstrate improved speed tracking, reduced steady-state error, and enhanced robustness under varying operating conditions.

KEYWORDS

Dc Motor

Cite This Article

Srujana, Neeraj, Tejovathi, Dr.Madhulika Das, "SLIDING MODE CONTROL BASED SPEED CONTROL OF DC MOTOR," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-3, May 2026.

Full Article/Conclusion

  The proposed Sliding Mode Control (SMC) technique has been successfully implemented for the speed control of a DC motor, demonstrating strong robustness and reliability. Unlike conventional controllers, which are sensitive to parameter variations and external disturbances, the SMC approach ensures consistent performance by driving the system states onto a predefined sliding surface and maintaining stability throughout operation. The simulation results confirm that the controller achieves fast dynamic response, accurate speed tracking, and minimal steady-state error. The motor operates smoothly under varying load conditions, and the system maintains stability without significant oscillations in speed, torque, or current. These characteristics highlight the effectiveness of SMC in handling nonlinearities and uncertainties present in practical motor drive systems. Overall, the study establishes Sliding Mode Control as a powerful and efficient method for DC motor speed regulation. Its simplicity in design, combined with high robustness and performance, makes it suitable for real-time industrial applications. Future work can focus on hardware implementation and further optimization to enhance performance in practical environments.

References

[1] A. Ahmed, S. Chavan, and S. Joshi, “Performance enhancing speed control of a DC motor based on artificial neural network,” Journal of Electrical Systems and Automation, vol. 57, no. 5, pp. 432–445, 2024. [2] Z. Zhao and X. Jin, “Adaptive neural network-based sliding mode tracking control for agricultural quadrotor with variable payload,” Computers & Electrical Engineering, vol. 107, p. 108682, 2022. [3] E. Parimalasundar et al., “Artificial neural network-based experimental investigations for sliding mode control of an induction motor in power steering,” Modelling and Simulation in Engineering, 2023. [4] E. Ghanbari et al., “Improving the performance of a chaotic nonlinear system of fractional-order brushless DC motor using fractional-order sliding mode control,” IJOCTA, vol. 15, no. 3, pp. 379–395, 2025. [5] J. H. Horng, “Neural adaptive tracking control of a DC motor,” Journal of Electrical Engineering, vol. 53, no. 2, pp. 223–230, 1999.  

Editorial & Review Transparency

Publication Date

5/9/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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