Speed control of direct current motors using proportional integral controllers

Research Article
Open access

Speed control of direct current motors using proportional integral controllers

Huidong Li 1*
  • 1 Pennsylvania State University, Pennsylvania    
  • *corresponding author hkl5344@psu.edu
Published on 20 December 2023 | https://doi.org/10.54254/2755-2721/28/20230231
ACE Vol.28
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-231-2
ISBN (Online): 978-1-83558-232-9

Abstract

Proportional integral(PI) controllers is widely used in direct current(DC) motor controlling in factories, requiring tuning of their parameters to achieve optimal performance. New tuning techniques may be developed with the aid of research, which can speed up and simplify the tuning process. This work examined the use of PI controllers to regulate the speed of DC motors. TinkerCad modelling and Falstad circuit simulation are used to simulate the circuit model. Two well-known methods, step response and root locus, were implemented and assessed using Octave Online. Results demonstrate that, provided the KP value is not excessively high, increasing KP can enhance the stability of the DC motor close-loop system. The goal of the research is to balance the system's oscillation and stability while determining the appropriate KP value for the PI controller in this closed-loop system. This research uses octave online to analysis the root locus and close loop positions in pole-zero maps and creates the step responses of the system with different parameters of the PI controller.

Keywords:

proportional integral, direct current motor, optimal performance, tuning techniques

Li,H. (2023). Speed control of direct current motors using proportional integral controllers. Applied and Computational Engineering,28,141-149.
Export citation

References

[1]. Khan J H S., Kadri M B. (2013) DC motor speed control by embedded PI controller with hardware-in-loop simulation. 2013 3rd IEEE International Conference on Computer, Control and Communication (IC4), Karachi, Pakistan, 23: 1-4.

[2]. Xue D., Yang Q. (2007) Linear Feedback Control. In Linear Feedback Control, Philadelphia: Society for Industrial and Applied Mathematics, 20: 183-235.

[3]. Hu H., Wang T., Zhao S. (2019) Speed control of brushless direct current motor using a genetic algorithm–optimized fuzzy proportional integral differential controller. Advances in Mechanical Engineering, 11(11): 2709-2717.

[4]. Akar M., Hekim M., Temiz I. (2012) The Speed and Torque Control of Direct Current Servo Motors by using Cascade Fuzzy PI Controller. Przeglad Elektrotechniczny, 88(5): e173-e173.

[5]. Kim S H. (2017) Control of direct current motors. Electric Motor Control, 17: 39-93.

[6]. Khanke M P., Jain A S. (2015) Speed control of Separately Excited DC Motor using various Conventional Controllers. International Journal of Engineering Research and Applica¬tions, 15: 45-49.

[7]. Rossi A., Concari C. (2012) A Novel BLDC-Like DTC Control Technique for Induction Motors. Advances in Power Electronics, 12(1): 986702.1-986702.8.

[8]. Rodríguez J., Pontt J., Silva C. (2004) Hysteresis current control of a vector controlled in-duction motor and DTC: An assessment. International Journal of Electronics, 91(11): 639-651.

[9]. Corapsiz G., Muhammed R. (2017) The Speed Control of DC Motor under the Load Condi¬tion using PI and PID Controllers. AIP Conference Proceedings, 1833(1): 1-5.

[10]. Patil A., Palnitkar G. (2020) Comparative Study and Implementation of Speed Control of BLDC Motor using Traditional PI and Fuzzy-PI Controller. International Journal of En-gineering and Technical Research, 20(4): 112-118.

[11]. Mahmud M., Motakabber S., Alam A. (2020) Control BLDC Motor Speed using PID Con-troller. International Journal of Advanced Computer Science and Applications, 11(3): 477-481.


Cite this article

Li,H. (2023). Speed control of direct current motors using proportional integral controllers. Applied and Computational Engineering,28,141-149.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2023 International Conference on Mechatronics and Smart Systems

ISBN:978-1-83558-231-2(Print) / 978-1-83558-232-9(Online)
Editor:Seyed Ghaffar, Alan Wang
Conference website: https://2023.confmss.org/
Conference date: 24 June 2023
Series: Applied and Computational Engineering
Volume number: Vol.28
ISSN:2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).

References

[1]. Khan J H S., Kadri M B. (2013) DC motor speed control by embedded PI controller with hardware-in-loop simulation. 2013 3rd IEEE International Conference on Computer, Control and Communication (IC4), Karachi, Pakistan, 23: 1-4.

[2]. Xue D., Yang Q. (2007) Linear Feedback Control. In Linear Feedback Control, Philadelphia: Society for Industrial and Applied Mathematics, 20: 183-235.

[3]. Hu H., Wang T., Zhao S. (2019) Speed control of brushless direct current motor using a genetic algorithm–optimized fuzzy proportional integral differential controller. Advances in Mechanical Engineering, 11(11): 2709-2717.

[4]. Akar M., Hekim M., Temiz I. (2012) The Speed and Torque Control of Direct Current Servo Motors by using Cascade Fuzzy PI Controller. Przeglad Elektrotechniczny, 88(5): e173-e173.

[5]. Kim S H. (2017) Control of direct current motors. Electric Motor Control, 17: 39-93.

[6]. Khanke M P., Jain A S. (2015) Speed control of Separately Excited DC Motor using various Conventional Controllers. International Journal of Engineering Research and Applica¬tions, 15: 45-49.

[7]. Rossi A., Concari C. (2012) A Novel BLDC-Like DTC Control Technique for Induction Motors. Advances in Power Electronics, 12(1): 986702.1-986702.8.

[8]. Rodríguez J., Pontt J., Silva C. (2004) Hysteresis current control of a vector controlled in-duction motor and DTC: An assessment. International Journal of Electronics, 91(11): 639-651.

[9]. Corapsiz G., Muhammed R. (2017) The Speed Control of DC Motor under the Load Condi¬tion using PI and PID Controllers. AIP Conference Proceedings, 1833(1): 1-5.

[10]. Patil A., Palnitkar G. (2020) Comparative Study and Implementation of Speed Control of BLDC Motor using Traditional PI and Fuzzy-PI Controller. International Journal of En-gineering and Technical Research, 20(4): 112-118.

[11]. Mahmud M., Motakabber S., Alam A. (2020) Control BLDC Motor Speed using PID Con-troller. International Journal of Advanced Computer Science and Applications, 11(3): 477-481.