Statistics

    Map

Twitter

Construction of an Instrumentation Kit for Identification and Control of DC Motors
( Vol-4,Issue-12,December 2017 )
Author(s):

Lucas Niro, Wagner de S. Chaves, Eduardo H. Kaneko, Matheus F. Mollon, Marcio A. F. Montezuma

Keywords:

Control Systems, Parameters Identification.

Abstract:

This paper presents the development of an instrumentation kit of voltage and current measurement for identification of the dynamic model and control of direct current (DC) motors. In the methodology for the parameters identification is used the responses of input voltage and current, and angular velocity of the DC motor. The validation of the obtained dynamic model is done through the comparison of the simulated and experimental responses, and the application of a control system based on state feedback and complete eigenstructure assignment (tracking system). The responses are compared through the normalized root-mean-square error criterion.

ijaers doi crossref DOI:

10.22161/ijaers.4.12.20

Paper Statistics:
  • Total View : 97
  • Downloads : 20
  • Page No: 121-127
Cite this Article:
MLA
Lucas Niro et al ."Construction of an Instrumentation Kit for Identification and Control of DC Motors". International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),vol 4, no. 12, 2017, pp.121-127 AI Publications, doi:10.22161/ijaers.4.12.20
APA
Lucas Niro, Wagner de S. Chaves, Eduardo H. Kaneko, Matheus F. Mollon, Marcio A. F. Montezuma(2017).Construction of an Instrumentation Kit for Identification and Control of DC Motors. International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),4(12), 121-127. http://dx.doi.org/10.22161/ijaers.4.12.20
Chicago
Lucas Niro, Wagner de S. Chaves, Eduardo H. Kaneko, Matheus F. Mollon, Marcio A. F. Montezuma. 2017,"Construction of an Instrumentation Kit for Identification and Control of DC Motors". International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)).4(12):121-127. Doi: 10.22161/ijaers.4.12.20
Harvard
Lucas Niro, Wagner de S. Chaves, Eduardo H. Kaneko, Matheus F. Mollon, Marcio A. F. Montezuma. 2017,Construction of an Instrumentation Kit for Identification and Control of DC Motors, International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)).4(12), pp:121-127
IEEE
Lucas Niro, Wagner de S. Chaves, Eduardo H. Kaneko, Matheus F. Mollon, Marcio A. F. Montezuma."Construction of an Instrumentation Kit for Identification and Control of DC Motors", International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),vol.4,no. 12, pp.121-127,2017.
Bibtex
@article {lucasniro2017construction,
title={Construction of an Instrumentation Kit for Identification and Control of DC Motors},
author={Lucas Niro, Wagner de S. Chaves, Eduardo H. Kaneko, Matheus F. Mollon, Marcio A. F. Montezuma},
journal={International Journal of Advanced Engineering Research and Science},
volume={4},
year= {2017},
}
Share:
References:

[1] H. Karimipour and H. Toosian shandiz, “A new adaptive fuzzy controller for DC motor position control,” 2009 Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, Famagusta, 2009, pp. 1-4.
[2] N. Saikumar and N. S. Dinesh, “Improved adaptation of EMPC with response sampling based prediction correction for the position control of DC motors,” 2014 International Conference on Computer, Control, Informatics and Its Applications (IC3INA), Bandung, 2014, pp. 109-114.
[3] W. Wu, “DC motor identification using speed step responses,” Proceedings of the 2010 American Control Conference, Baltimore, MD, 2010, pp. 1937-1941.
[4] M. A. Darwish and H. S. Abbas, “DC motor position control using discrete-time fixed-order H∞ controllers,” 2012 First International Conference on Innovative Engineering Systems, Alexandria, 2012, pp. 260-265.
[5] G. h. Chang, Y. f. Li and Q. Gang, “Intelligent controller design for PM DC motor position control using evolutionary programming,” 2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering, Wuhan, 2011, pp. 37-40.
[6] A. Lichtman and P. Fuchs, “Theory of PI controller and introduction to implementation for DC motor controls,” 2017 Communication and Information Technologies (KIT), Vysoke Tatry, 2017, pp. 1-5.
[7] N. Daksha and K. Rudraksha, “Design and testing of self-tuned fuzzy PI controller for improved speed control and accelerating torque characteristics of a DC motor,” 2017 4th International Conference on Power, Control & Embedded Systems (ICPCES), Allahabad, India, 2017, pp. 1-6.
[8] V. A. Oliveira, M. L. Aguiar and J. B. Vargas. Sistemas de controle: aulas de laboratório. 2nd ed. EESC-USP, 2013.
[9] P. Deshpande and A. Deshpande, “Inferential control of DC motor using Kalman Filter,” 2012 2nd International Conference on Power, Control and Embedded Systems, Allahabad, 2012, pp. 1-5.
[10] M. A. Aravind, N. Saikumar and N. S. Dinesh, “Optimal position control of a DC motor using LQG with EKF,” 2017 International Conference on Mechanical, System and Control Engineering (ICMSC), St. Petersburg, 2017, pp. 149-154.
[11] J. D’azzo and C. Houpis. Linear control system analysis and design: conventional and modern. 4th ed. New York: McGraw-Hill Companies, 1995.
[12] M. A. F. Montezuma. Methodology for identification and control of a movement platform prototype with 2 D.O.F. Ph.D. Dissertation, School of Engineering of São Carlos, University of São Paulo, São Carlos, 2010.