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.

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Published
2024-10-31
 
Section
Control System