DC Motor Speed Control using Particle Swarm Optimization based on Labview


  • (1) * Rifqi Firmansyah            Universitas Negeri Surabaya  
            Indonesia

  • (2)  Muhammad Badruddin A. M.            Universitas Negeri Surabaya  
            Indonesia

  • (3)  Mochamad Masnur K.            Universitas Negeri Surabaya  
            Indonesia

  • (4)  Prayuda A. G.            Universitas Negeri Surabaya  
            Indonesia

  • (5)  Muhammad Rafli F.            Universitas Negeri Surabaya  
            Indonesia

  • (6)  Pressa P. S. Saputra            Universitas Muhammadiyah Gresik  
            Indonesia

  • (7)  Ahmad Althobiti            Technical and Vocational Training Corporation  
            Saudi Arabia

    (*) Corresponding Author

Abstract

In Industrial applications, DC motors are commonly applied because of high reliability, ease of control and ability to provide accurate speed. However, to get accurate speed control under several operation conditions such as disturbances and changes in the load is significant challenge. This research explores the implementation of particle swarm optimization (PSO) to tune parameters of proportional-integral (PI) controller. PSO that is a population-based optimization technique, is inspired by the social behavior of swarms. It is a population-based optimization technique. By automation process in the algorithm. Using the tuning process of PSO, it can effectively obtain the parameters of PI controller. experimental hardware using DIGIAC 1750 is used to assess the performance of the proposed method.  The parameters of  and  are 0.7492 and 0.2007, respectively. The results show that the performance of the DC motor using PSO tuned by PI for , , and  are 0.3687 s, 0.5106 s, and 0.6051 s, respectively. Furthermore, when the system is given a disturbance, the response can come back again following the setpoint and when the setpoint is changed, the response can follow the setpoint quickly as well. The proposed method can address the challenges associated with DC motor speed control.

References

R. Firmansyah and R. Irmawanto, “Comparison Study of PI Controller Tuning Method to Regulate the DC Motor Speed,” in ICRACOS 2021 - 2021 3rd International Conference on Research and Academic Community Services: Sustainable Innovation in Research and Community Services for Better Quality of Life towards Society 5, 2021. doi: 10.1109/ICRACOS53680.2021.9702007. DOI: https://doi.org/10.1109/ICRACOS53680.2021.9702007

Prashant Garg and Narottam Dutt Upadhyay, “Speed Control of DC Motor – A Review,” International Journal of Advanced Research in Science, Communication and Technology, 2023, doi: 10.48175/ijarsct-14320. DOI: https://doi.org/10.48175/IJARSCT-14320

P. P. S. Saputra and R. Firmansyah, “Short Circuit Failure Detection in Induction Motor Using Wavelet Transform and Fuzzy C-Means,” SinkrOn, vol. 8, no. 2, 2023, doi: 10.33395/sinkron.v8i2.12207. DOI: https://doi.org/10.33395/sinkron.v8i2.12207

R. P. Borase, D. K. Maghade, S. Y. Sondkar, and S. N. Pawar, “A review of PID control, tuning methods and applications,” 2020. doi: 10.1007/s40435-020-00665-4. DOI: https://doi.org/10.1007/s40435-020-00665-4

M. Hilal, H. ALRikabi, and I. A. Aljazaery, “A Control System of DC Motor Speed: Systematic Review,” Wasit Journal of Computer and Mathematics Science, vol. 2, no. 1, 2023.

O. Ibrahim, N. Z. Yahaya, and N. Saad, “Comparative studies of PID controller tuning methods on a DC-DC boost converter,” in International Conference on Intelligent and Advanced Systems, ICIAS 2016, Institute of Electrical and Electronics Engineers Inc., Jan. 2017. doi: 10.1109/ICIAS.2016.7824044. DOI: https://doi.org/10.1109/ICIAS.2016.7824044

Shadab. N. Sayyad and Mr. W. Gavhane, “DC MOTOR SPEED CONTROL USING P.I CONTROLLER,” Open Access Repository, vol. 9, no. 04, 2022.

A. Intidam et al., “Development and Experimental Implementation of Optimized PI-ANFIS Controller for Speed Control of a Brushless DC Motor in Fuel Cell Electric Vehicles,” Energies (Basel), vol. 16, no. 11, 2023, doi: 10.3390/en16114395. DOI: https://doi.org/10.3390/en16114395

E. Çelik and M. Karayel, “Effective speed control of brushless DC motor using cascade 1PDf-PI controller tuned by snake optimizer,” Neural Comput Appl, vol. 36, no. 13, 2024, doi: 10.1007/s00521-024-09470-y. DOI: https://doi.org/10.1007/s00521-024-09470-y

J. U. Liceaga-Castro, I. I. Siller-Alcalá, J. D. G. S. Román, and R. A. Alcántara-Ramírez, “PI Speed Control with Reverse Motion of a Series DC Motor Based on the Noise Reduction Disturbance Observer,” Actuators, vol. 11, no. 5, 2022, doi: 10.3390/act11050117. DOI: https://doi.org/10.3390/act11050117

G. Al-Muthanna et al., “A High Speed MPPT Control Utilizing a Hybrid PSO-PID Controller under Partially Shaded Photovoltaic Battery Chargers,” Sustainability (Switzerland), vol. 15, no. 4, Feb. 2023, doi: 10.3390/su15043578. DOI: https://doi.org/10.3390/su15043578

E. S. Rahayu, A. Ma’arif, and A. Cakan, “Particle Swarm Optimization (PSO) Tuning of PID Control on DC Motor,” International Journal of Robotics and Control Systems, vol. 2, no. 2, 2022, doi: 10.31763/ijrcs.v2i2.476. DOI: https://doi.org/10.31763/ijrcs.v2i2.476

Picture in here are illustration from public domain image (License) or provided by the author, as part of their works
Published
2024-10-31
 
Section
Control System