International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12
line decor
  
line decor

 Volume 8, Issue 5 (May 2021), Pages: 59-66

----------------------------------------------

 Original Research Paper

 Title: Speed control of the asynchronous motor using LabVIEW

 Author(s): Petru Livinti *

 Affiliation(s):

 Department of Energy and Computer Science, Vasile Alecsandri University of Bacău, Bacău, Romania

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-6217-5733

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2021.05.007

 Abstract:

In this paper a comparative study on the methods of adjusting the speed of a three-phase asynchronous motor with a rotor in a short circuit was presented. For the same structure of the experimental stand used, two programs were created, implemented, and validated in LabVIEW. For the first method, the program in LabVIEW was made with the PI (proportional-integrative) controller and for the second method, the program in LabVIEW was made with the Fuzzy Logic controller. Following the analysis of the resulting graphs, it was found that the speed control system made with the fuzzy logic controller ensures an increase in its performance compared to the speed control system made with the conventional PI type controller. The indicial responses of the adjustment system of the three-phase asynchronous motor speed with PI controller or Fuzzy Logic controller have been determined in real-time by means of the experimental stand. The override of the speed adjustment system is decreased from the value of 26.9% corresponding to the PI controller to the value of 2.3% corresponding to the Fuzzy Logic controller and the duration of the transient time is decreased from the value of 2.2 s related to the PI controller to the value of 0.5 s, related to the Fuzzy Logic controller. By using the Fuzzy Logic controller, the amount of electrical energy required to supply the electric drive system made with a three-phase asynchronous motor will be reduced. This three-phase asynchronous motor speed adjustment algorithm can be implemented for other electric drive systems from different industrial applications. 

 © 2021 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Three-phase asynchronous motor, Fuzzy logic, Speed control

 Article History: Received 1 October 2020, Received in revised form 20 December 2020, Accepted 19 January 2021

 Acknowledgment 

My work has been supported by the “Vasile Alecsandri” University of Bacau from Romania.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

  Livinti P (2021). Speed control of the asynchronous motor using LabVIEW. International Journal of Advanced and Applied Sciences, 8(5): 59-66

 Permanent Link to this page

 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 Fig. 9 Fig. 10 

 Tables

 Table 1 Table 2 Table 3 Table 4

----------------------------------------------

 References (14)

  1. Acikgoz H (2018). Speed control of DC motor using interval type-2 fuzzy logic controller. International Journal of Intelligent Systems and Applications in Engineering, 6(3): 197-202. https://doi.org/10.18201/ijisae.2018644777   [Google Scholar]
  2. Aggarwal A, Rai JN, and Kandpal M (2015). Comparative study of speed control of induction motor using PI and fuzzy logic controller. Journal of Electrical and Electronics Engineering, 10(2): 43-52.   [Google Scholar]
  3. Asija D (2010). Speed control of induction motor using fuzzy-PI controller. In the 2nd International Conference on Mechanical and Electronics Engineering, IEEE, Kyoto, Japan, 2: V2-460-V2-463. https://doi.org/10.1109/ICMEE.2010.5558463   [Google Scholar]
  4. Faisal MS and Paliwal S (2018). Speed control of three phase squirrel cage induction motor using fuzzy logic controller. International Journal of Engineering Research and Application, 8(5): 3-7.   [Google Scholar]
  5. Kalhoodashti HE and Shahbazian M (2011). Hybrid speed control of induction motor using PI and fuzzy controller. International Journal of Computer Applications, 30(11): 44-50.   [Google Scholar]
  6. Kumar BU and Patnaik MR (2015). Time response analysis of a DC motor speed control with PI and fuzzy logic using LAB View compact RIO. International Research Journal of Engineering and Technology, 2(8): 392-396.   [Google Scholar]
  7. Livinti P and Pusca R (2012). Control of an electric drive system in the LabVIEW programming environment. In the 9th International Conference on Remote Engineering and Virtual Instrumentation, IEEE, Bilbao, Spain: 1-6. https://doi.org/10.1109/REV.2012.6293165   [Google Scholar]
  8. Livinti P, Romary R, Pusca R, and Adam T (2016). Fuzzy logic system for controlling the speed of a D.C. servomotor with permanent magnets. The Journal of Macro Trends in Technology and Innovation, 4(1): 73-83.   [Google Scholar]
  9. Manjunatha MN (2017). Comparative analysis of PI controller and fuzzy logic controller for speed control of three phase induction motor drive. International Journal of Engineering Development and Research, 5(4): 134-138.   [Google Scholar]
  10. Nagarajan R, Gokulkannan M, Dinesh T, Murugesan S, and Naveenprasanth M (2019). Performance improvements of separately excited dc motor using fuzzy logic control. International Journal of Engineering Technologies and Management Research, 6(2): 47-58. https://doi.org/10.29121/ijetmr.v6.i2.2019.355   [Google Scholar]
  11. Rajpoot SC, Soni NK, Shrivastava S, and Singh P (2018). Speed control of three phase motor using fuzzy logic controller. International Research Journal of Engineering and Technology, 5(10): 478-486.   [Google Scholar]
  12. Salim JO (2015). Fuzzy based PID controller for speed control of dc motor using LabView. WSEAS Transactions on Systems and Control, 10: 154-159.   [Google Scholar]
  13. Shaija PJ and Daniel AE (2016). An intelligent speed controller Design for indirect vector controlled Induction motor drive system. Procedia Technology, 25: 801-807. https://doi.org/10.1016/j.protcy.2016.08.177   [Google Scholar]
  14. Usha S and Subramani C (2018). An efficient fuzzy controller design for parallel connected induction motor drives. Journal of Physics: Conference Series (In the National Conference on Mathematical Techniques and its Applications), Kattankulathur, India, 1000(1): 012077. https://doi.org/10.1088/1742-6596/1000/1/012077   [Google Scholar]