Adaptive Speed Control System Based on Interval Type-2 Fuzzy Logic

Authors

  • Yousif Ismail Al Mashhadany University of Anbar - Engineering of College - Electrical Department

DOI:

https://doi.org/10.14738/tmlai.25.500

Keywords:

Interval Type-2 Fuzzy Logic Controller (IT2FLC), discrete pulse width modulation (DPWM), brushless DC (BLDC) motor.

Abstract

This paper presents the design and simulation of adaptive control system based on an Interval Type-2 Fuzzy Logic Controller (IT2FLC) with multilevel inverter (MLI) for control of power system, and the command line programming for constructing, editing, and simulating the IT2FLC. The modification was done by considering new membership functions (MFs) for the environment of an Interval Type-2 Fuzzy Logic System (ITFLS). Two other controllers besides the designed IT2FLC, comparing their outputs: a PID Controller and a Type-1 Fuzzy Logic Controller (T1FLC). Various design phases for the fuzzy system, from initial description to final implementation. In this work, the case study is consider for brushless DC (BLDC) motor that is driven by multilevel inverter based on discrete three-phase pulse width modulation (DPWM) generator that forced-commuted the IGBT’s three-level converters using three bridges to vectored outputs 12- pulses with three levels. Using DPWM with a three-level inverter solves the

Author Biography

Yousif Ismail Al Mashhadany, University of Anbar - Engineering of College - Electrical Department

Dr. Yousif Ismail Mohammed Al-Mashhadany (Asst. Prof. Control Engineering, SMIEE), born in Baghdad / 1973. He received the B.Sc. degree in the Department of Electrical and Electronic Engineering (1995) from the Rashid School of Engineering and Science / University of Technology in Baghdad. He received the M.Sc. degree in control and guidance engineering (1999). And a Ph.D in electrical engineering department / control (2009) from the same university. Complete postdoctoral fellow research in electrical engineering - control department at the University of Malaya in Malaysia (UMPEDAC) in 2012. In addition, he completed undergraduate study in Islamic Sciences - Sharia Department of the University of Baghdad in 2004.            

He works since 2004, a lecturer in the Department of Electrical Engineering / Engineering College / University of Anbar. His research interests include advanced control systems, automated control systems and biomedical engineering. He has forty five publications in international journals and international conferences. He has many practical projects in the areas of renewable energy and control systems in electrical power systems. He senior member IEEE at 2013, and reviewer for more than fifteen international journals.   

References

References

A.S. Oshaba, E.S. Ali, “Swarming Speed Control for DC Permanent Magnet Motor Drive via Pulse Width Modulation Technique and DC/DC Converter”, Research Journal of Applied Sciences, Engineering and Technology, Vol. 5, I.18, ISSN: 4576-4583, 2013

S. Dubey, S. K. Srivastava, “Speed Control of Dc Motor Using Fuzzy Logic Controller”, IJBSTR, ISSN 2320 – 6020, Vol. 1, I. 7, 2013

C.Ganesh, M.Prabhu, M.Rajalakshmi, G.Sumathi, V. Bhola, S.K.Patnaik, “ANN Based PID Controlled Brushless DC drive System”, Proc. of Int. Conf. on Advances in Electrical & Electronics, © 2011 ACEEE, DOI: 02.AEE.2011.02.83, 2011

M. Rajshekar, V. G. Swamy, T.A. Kumar, ““Modeling and simulation of discontinues current mode inverter fee permanent magnet synchronous motor derive”, Journal of Theoretical and Applied Information Technology, JATIT & LLS. All rights reserved. 2011, pp. 64-94

H. ZENK1, A. S. Akpinar, “Dynamic Performance Comparison of Cúk Converter with DC Motor Driving and Using PI, PID, Fuzzy Logic Types Controllers”, Universal Journal of Electrical and Electronic Engineering, Vol. 2, I.2, pp: 90-96, 2014

K.H. Chua, W.P. Hew, C.P. Ooi, C.Y. Foo, K.S. Lai, “A Comparative analysis of PI, fuzzy logic and ANFIS speed control of permanent synchronous motor”, ELEKTROPIKA: Int. J. of Electrical, Electronic Engineering and Technology, Vol. 1, , 2011, pp 10-22.

A. Ismail; B. O. Faruk, “A type-2 fuzzy logic controller design for buck and boost DC-DC converters”, journal of intelligent manufacturing, Vol. 23, Issue. 4, 2012, pp. 1023 - 1034

C. W. Chen, “Modeling, control, and stability analysis for time-delay TLP systems using the fuzzy Lyapunov method”, journal of neural computing and applications, Vol. 20, Isuue. 4, 2011, pp. 527-534

P. A. Adewuyi, “DC Motor Speed Control: A Case between PID Controller and Fuzzy Logic Controller”, International Journal Of Multidisciplinary Sciences And Engineering, Vol. 4, No. 4, 2013

S. Saini, A. Kumar, “Speed Control of Separately Excited D.C Motor using Self Tuned ANFIS Techniques”, International Journal of Computer Science and Technology, IJCST Vol. 3, Issue 1, Jan. - March 2012, pp. 500-504.

B. A. Omar, A. Y. Haikal, F. F. Areed, “An Adaptive Neuro-Fuzzy Speed Controller for a Separately excited DC Motor”, International Journal of Computer Applications, Vol. 39– No.9, February 2012 ,pp. 0975 – 8887

V.M. Varatharaju, B. Mathur, U. Dhayakumar, “Adaptive Controllers for Permanent Magnet Brushless DC Motor Drive System using Adaptive-Network-based Fuzzy Interference System”, American Journal of Applied Sciences 8 (8), ISSN 1546-9239, 2011, pp. 810-815

M. Pratama, S. Rajab, E. M. Joo, “Extended Approach of ANFIS in Cascade Control”, International Journal of Computer and Electrical Engineering, Vol. 3, No. 4, August 2011, pp. 572-576.

J. Chakravorty, R. Sharma, “Fuzzy Logic Based Method of Speed Control of DC Motor”, International Journal of Emerging Technology and Advanced Engineering, Vol. 3, I. 4, 2013

M. R. Dastranj, E. Ebrahimi, N. Changizi, E. Sameni, “Control DC Motorspeed with Adaptive Neuro-Fuzzy control (ANFIS)”, Australian Journal of Basic and Applied Sciences, 5(10): ISSN 1991-8178, 2011, pp. 1499-1504

V. M. Varatharaju, B. L. Mathur, “ Adaptive neuro-fuzzy controller for hysteresis current controlled PMBLDC motor”, International Journal of Advances in Engineering & Technology, IJAET ISSN: 2231-1963, 212 Vol. 1, Issue 4, Sept 2011, pp. 212-223

L. Leottau, M. Melgarejo, “An Embedded Type-2 Fuzzy Controller for a Mobile Robot Application”, chapter 18, Recent Advances in Mobile Robotics, 2011, pp.365-384

A.A Thorat, S. Yadav, S.S.Patil, “Implementation of Fuzzy Logic System for DC Motor Speed Control using Microcontroller”, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622, Vol. 3, I. 2, pp.950-956, 2013

T. Dereli , A. Baykasoglu , K. Altun , A. Durmusoglu , I. B. Turksen, “Industrial applications of type-2 fuzzy sets and systems: A concise review”, Elsevier, Journal of Computers in Industry, 62, 2011, pp.125–137

X. Ling, Y. Zhang, “Operations on Triangle Type-2 Fuzzy Sets” Elsevier, Journal of Advanced in Control Engineering and Information Science,12, 2011, pp. 3346-3350

M. Tushir, S. Srivastava, “Type-2 fuzzy logic controller Implementation for tracking control of DC motor”, International Journal of Computer Network and Security (IJCNS) ISSN : 0975-8283,Vol. 3 No. 1, 2011, pp. 34-41

R. C. Chourasia, M. Kumar, “Speed Control of S.E.D.C. Motor by Using PI and Fuzzy Logic Controller”, International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Vol.3, I.2, 2013

M. Manceur, N. Essounbouli, A. Hamzaoui, “Higher Order Sliding Fuzzy Type-2 Interval Control for SISO Uncertain Nonlinear Systems”, IEEE International Conference on Fuzzy Systems June 27-30, 2011, Taipei, Taiwan, pp. 1388 – 1396

Y. Maldonado, O. Castillo, P. Melin, “Optimal Design of Type-2 Fuzzy Controllers with a Multiple Objective Genetic Algorithm for FPGA Implementation”, 978-1-61284-968-3/11/$26.00 ©2011 IEEE xxx

P. C. Chen, C. W Chen, W. L.Chiang, “Linear Matrix Inequality Conditions of Nonlinear systems by Genetic Algorithm-based H-infinity Adaptive Fuzzy Sliding Mode Controller”, Vol. 17, Isuue. 4, 2011, pp. 163-173

C.S. Chen, “Supervisory adaptive tracking control of robot manipulators using interval type-2 TSK fuzzy logic system”, IET Control Theory & Applications, Volume 5, Issue 15, 13 October 2011, p. 1796 – 1807

X. Du, H. Ying, “Derivation and Analysis of the Analytical Structures of the Interval Type-2 Fuzzy-PI and PD Controllers”, IEEE transactions on fuzzy system, Vol, 18, No. 4, Aug. 2010, pp. 802-814

M. Biglarbegian, W. W. Melek, J. M. Mendel, “Design of Novel Interval Type-2 Fuzzy Controllers for Modular and Reconfigurable Robots: Theory and Experiments”, IEEE transactions on industrial electronics, Vol. 58, No. 4, April 2011, pp. 1371-1384

M. Manceur, N. Essounbouli, A. Hamzaoui, “Higher Order Sliding Fuzzy Type-2 Interval Control for SISO Uncertain Nonlinear Systems”, IEEE International Conference on Fuzzy Systems, June 27-30, 2011, Taipei, Taiwan, pp. 1388-1396

E. Kayacan, O. Kaynak, R. Abiyev, J. Tørresen, M. Høvin, K. Glette, “Design of an Adaptive Interval Type-2 Fuzzy Logic Controller for the Position Control of a Servo System with an Intelligent Sensor”, WCCI fuzzy IEEE World Congress on Computational Intelligence July, 18-23, Barcelona, Spain, 2010, pp. 1125-1132

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Published

2014-11-03

How to Cite

Al Mashhadany, Y. I. (2014). Adaptive Speed Control System Based on Interval Type-2 Fuzzy Logic. Transactions on Engineering and Computing Sciences, 2(5), 27–40. https://doi.org/10.14738/tmlai.25.500

Issue

Vol. 2 No. 5 (2014): Transactions on Machine Learning and Artificial Intelligence

Section

Articles