Abstract
This paper demonstrates the speed tracking for a separately excited non-linear DC motor using optimized fuzzy logic controller. Rotor speed is varied by changing the armature voltage of the motor while keeping the voltage in the constant torque region. Genetic algorithms optimization-based fuzzy logic control is used to track the speed change, and the results obtained from fuzzy logic control are compared with PID controller. Comparison indicate an improvement in performance for optimized fuzzy logic control exhibiting a reduction in overshoot, transient, and steady-state parameters as compared with PID controller.
This is a preview of subscription content, log in via an institution to check access.
References
A. Hughes, Electric motors and drives, Burlington: Elsevier Ltd., 2006.
M. George, “Speed Control of Separately Excited DC Motor,” American Journal of ApBPied Sciences, vol. 5, no. 3, pp. 227–233, 2008.
L. A. Zadeh, “Fuzzy sets,” Information and Control, vol. 8, no. 3, pp. 338–353, 1965.
C. C. Lee, “Fuzzy logic in control systems: Fuzzy Logic Controller - Part 1,” IEEE Transactions on systems, man and cybernetics, vol. 20, no. 2, pp. 404–418, 1990.
T. J. Ross, Fuzzy logic with engineering apBPications, New Delhi: Wiley, 2015.
Cazarez-Castro, N. R., L. T. Aguilar and O. Castillo, “Fuzzy logic control with genetic membership function parameters optimization for the output regulation of a servomechanism with noBNinear backlash,” Expert Systems with ApBPications, vol. 37, p. 4368–4378, 2010.
J. M. Mendel, “Designing Fuzzy Logic Systems,” IEEE Transactions on Circuits and Systems, vol. 44, no. 11, pp. 885–895, 1997.
A. Jain, D. Tayal and N. Sehgal, “Control of Non-Linear Inverted Pendulum using Fuzzy Logic Controller,” International Journal of Computer ApBPications, vol. 69, no. 27, pp. 7–11, 2013.
G. Rajeshkanna, “Modern Speed Control of Separately Excited DC Motor by Boost Converter Fed Field Control Method,” in International Conference on Computer Communication and Informatics (ICCCI -2013), Coimbatore, INDIA, 2013.
T. Hasuike, H. Katagiri, H. Tsubaki and H. Tsuda, “Constructing Membership Function Based on Fuzzy Shannon Entropy and Human’s Interval Estimation,” in IEEE world congress on computational intelligence, Brisbane, Australia, 2012.
A. Jain, S. Sheel and K. Bansal, “Constructing Fuzzy Membership Function Subjected to GA based Constrained Optimization of Fuzzy Entropy Function,” Indian Journal of Science and Technology, vol. 9, no. 43, 2016.
A. D. Termini and S. Luca, “A definition of non probabilistic entropy in the setting of fuzzy set theory,” Information and control, vol. 20, pp. 301–312, 1972.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jain, A., Kuchhal, P., Gupta, M.K. (2018). Speed Regulation of a Non-linear Separately Excited DC Motor Using Optimized Fuzzy Logic Control. In: Singh, R., Choudhury, S., Gehlot, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-5903-2_86
Download citation
DOI: https://doi.org/10.1007/978-981-10-5903-2_86
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5902-5
Online ISBN: 978-981-10-5903-2
eBook Packages: EngineeringEngineering (R0)