Speed Control of DC Motor Using Interval Type-2 Fuzzy Logic Controller
AbstractDirect current (DC) motors are widely used for speed control and position control in industry. The simplicity of DC motor speed control is also the main reason for its widespread use. Recently, in parallel with rapid developments in power electronics, microprocessors and semiconductor materials, many control structures are designed for DC motors. In this study, the speed control of the DC motor is carried out using the Matlab/Simulink package program. Type-2 Fuzzy Logic controller (T2FLC) which has efficient performance in modelling uncertainties is proposed for the speed control of DC motor. The classical PI controller and Type-2 Fuzzy Logic controller (T2FLC) are applied to the speed control unit of the DC motor. Simulation studies have also been realized for the designed DC motor model under the same conditions. The results obtained from the classical PI controller and T2FLC have been examined and compared to disturbances such as tracking reference speeds and load changes. According to the obtained simulation results, it has been observed that T2FLC has better results than the classical PI controller in whole conditions.
G. G. Rigatos, “Adaptive fuzzy control of DC motors using state and output feedback”, Electric Power Systems Research, vol. 79, no. 11, pp. 11-23, pp. 1579–1592, 2009.
M. Gökbulut, B. Dandil, C. Bal, “Development and Implementation of a Fuzzy-Neural Network Controller for Brushless DC Drives”, Intelligent Automation & Soft Computing, vol. 13, no. 4, pp. 415-427, 2007.
J. Reyes, C.M. Astorga-Zaragoza, M. Adam-Medina, G.V. Guerrero-Ramírez, “Bounded neuro-control position regulation for a geared DC motor”, Engineering Applications of Artificial Intelligence , vol. 23, no. 8, pp. 1398-1407, 2010.
H. Acikgoz, O.F. Kececioglu, A. Gani, C. Yildiz, M. Sekkeli, “Improved control configuration of PWM rectifiers based on neuro-fuzzy controller,” Springer Plus, vol. 5, no. 1, pp. 1-18, 2016.
K. Nouri, R. Dhaouadi, N.B. Braiek, “Adaptive control of a nonlinear DC motor drive using recurrent neural networks”, Applied Soft Computing, vol. 8, pp. 371-382, 2008.
C.F. Hsu, B.K. Lee, “FPGA-based adaptive PID control of a DC motor driver via sliding-mode approach”, Expert Systems with Applications, vol. 38, no. 9, pp.11866-11872, 2011.
Kiruthika, A.A. Rajan, and P. Rajalakshmi, “Mathematical modelling and speed control of a sensored brushless DC motor using intelligent controller,” International Conference on Emerging Trends in Computing, Communication and Nanotechnology, pp.211–216, 2013
R.A. Kiruthika, T. Ramesh, “Speed control of a sensored brushless DC motor using FLC”, Int. J. Eng. Res. Technol., vol. 3, no. 4, pp. 2159-2162, 2014.
J.G. Ziegler, N.B Nichols, “Optimum settings for Automatic Controllers”, Trans. ASME, vol. 64, pp. 759-768, 1942.
L.A. Zadeh, “Fuzzy Sets”, Information and Control, Vol. 8, pp. 335-353, 1965.
L.A. Zadeh, “The concept of a linguistic variable and its application to approximate reasoning”, Information sciences, vol. 8, no. 3, pp. 199-249, 1975.
A. Gani, H.R. Özçalık, H. Açıkgöz, Ö.F. Keçecioğlu, E. Kılıç, “Farklı Kural Tabanları Kullanarak PI-Bulanık Mantık Denetleyici ile Doğru Akım Motorunun Hız Denetim Performansının İncelenmesi”, Academic Platform Journal of Engineering and Science, vol 2, no. 1, pp. 16-23, 2014.
H. Açıkgöz, Ö.F. Keçecioğlu, A.Gani, M. Şekkeli, “Lineer Kuadratik Regülatör ve Genetik Tabanlı PID Denetleyici ile Doğru Akım Motorunun Hız Denetimi”, International Conference and Exhibition on Electronic, Computer and Automation Technologies (ICEECAT’14), May 9-11,2014 Konya, Turkey
S. Joice, P. Nivedhitha, “Simulation of speed control of brushless DC motor with fuzzy logic controller,” Int. J. Electr., Electron. Data Commun., vol. 2, no. 4, 24-29, 2014.
M. Gökbulut, B. Dandil, C. Bal, “A Hybrid Neuro-Fuzzy Controller for Brushless DC Motors”, Lecture Notes in Computer Science, vol. 3949, pp 125-132, 2005.
A. Gani, H. Açıkgöz, Ö.F. Keçecioğlu, M. Şekkeli, “Examine of Speed Control Performance of Permanent Magnet DC Motor with PI-Fuzzy Logic Controller by Using Different Membership Functions” 7th International Advanced Technologies Symposium (IATS’13), 30 October-1 November 2013, Istanbul, Turkey.
H. Acikgoz, O.F. Kececioglu, A. Gani, M. Tekin, M. Sekkeli, “Robust Control Of Shunt Active Power Filter Using Interval Type-2 Fuzzy Logic Controller For Power Quality Improvement”, Tehnički vjesnik, vol. 24, no. Suppl. 2, pp. 363-368, 2017.
H. Acikgoz, R. Coteli, M. Ustundag, B. Dandil, “Robust Control of Current Controlled PWM Rectifiers Using Type-2 Fuzzy Neural Networks for Unity Power Factor Operation”, J Electr Eng Technol., vol. 13, no. 2 pp. 822-828, 2018.
H. Hassani, J. Zarei, “Interval Type-2 Fuzzy Logic Controller Design for the Speed Control of DC Motors”, Systems Science & Control Engineering, 2015.
Q. Liang, J.M. Mendel, “Interval type-2 fuzzy logic systems: theory and design”, IEEE Transactions on Fuzzy Systems, vol. 8, no. 5, pp. 535-550, 2000.
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