PLC and Fuzzy Logic Control of a Variable Frequency Drive

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)
  
© 2014 by IJETT Journal
Volume-16 Number-4
Year of Publication : 2014
Authors : Rinchen Geongmit Dorjee
  10.14445/22315381/IJETT-V16P240

Citation 

Rinchen Geongmit Dorjee. "PLC and Fuzzy Logic Control of a Variable Frequency Drive", International Journal of Engineering Trends and Technology (IJETT), V16(4),186-190 Oct 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

This work deals with the control of a VFD which acts as an intermediary between a three-phase induction motor and the PLC. The induction motor drives a conveyor belt which has three proximity sensor inputs. The first sensor gives the signal for motor to move in the forward direction, the second sensor halts the conveyor for a pre-defined period of time and the third sensor gives the signal for motor to move in the reverse direction. The PLC takes these inputs from the sensors and takes an appropriate action based on the logic developed for the motor control. Finally, the PLC output then becomes the VFD input, which after being reprocessed within the drive brings about the necessary control of the motor with respect to speed and position. In addition, Fuzzy Logic has also been applied to the system so that it can be trained to predict a reasonable output for even those inputs which were not foreseen by the network, therefore making the system flexible and easy to predict the result for various operating conditions.

References

[1] Marwan A. Badran, Mostafa A. Hamood, Waleed F Faris, Fuzzy Logic Based Speed Control System for Three-Phase Induction Motor. “Eftimie Murgu” Resita, Anul XX, NR, 1,2013, ISSN 1453-7397
[2] Mendel J.M., “ F u z z y L o g i c S y s t e m s f o r E n g i n e e r i n g : A t u t o r i a l , ” Proceedings of the IEEE, Vol. 83, pp. 345-377, 1995.
[3] Javadi S., “ I n d u c t i o n M o t o r D r i v e U s i n g F u z z y L o g i c ” International Conference on Systems Theory and Scientific Computation, Athens, Greece, 24-26, 2007
[4] Emad Abdelkarim, Mahrous Ahmed, Mohamed Orabi, Peter Mutschler, “Fuzzy Logic Speed Controller of a 3-Phase Induction Motor for Efficiency Improvement” JPE 12-2-9, http://dx.doi.org/10.6113 /JPE.2012.12.2.305
[5] A. M. Eltamaly, A. I. Alolah, and B. M. Badr, “Fuzzy controller for three phases induction motor drives,” IEEE Autonomous and Intelligent Systems (AIS) 2010, Vol. 1, pp. 1-6, Aug. 2010.
[6] K. R. Kumar, D. Sakthibala, and S. Palaniswami, “Efficiency optimization of induction motor drive using soft computing techniques,” International Journal of Computer Application, Vol. 3, No. 1, Jun. 2010.
[7] C. Thanga Raj, “Energy Efficient Control of Three-Phase Induction Motor – A Review”, International Journal of Computer and Electrical Engineering, Vol 1, No 1, April 2009, 1793-8198
[8] B. K.Bose, Modern Power Electronics And Ac Drives, Printed Hall PTR 2002.
[9] P Tripura, Y Srinivasa Kishore Babu, “Fuzzy Logic Speed Control of Three Phase Induction Drive”, World Academy of Science, Engineering and Technology, Vol 5, 2011-12-20
[10] Ravi Maloth, “Speed Control of Induction Motor Using Fuzzy Logic Controller”, National Conference on Electrical Sciences -2012 (NCES-12) ISBN: 978-93-81583-72-2
[11] Bao-Gang Hu, George K. I. Mann, “A systematic study of fuzzy Pid controllers- Function based evaluation approach”.IEEE Transactions on Fuzzy Systems, vol.9, no. 5, October 2001.
[12] Kamini Devi, Shailendra Gautam, Deepak Nagaria, “Speed control of a 3-phase induction motor using self-tuning fuzzy PID controller and conventional PID controller”, International Journal of Information & Computation Technology, ISSN 0974-2239 Volume 4, Number 12 (2014), pp. 1185-1193
[13] Mohd Shahrieel Mohd Aras, Eric Chee Sai Hoo, Mohd Hendra bin Hairi, Syed Najib Bin Syed Salim, Intan Azmira binti Wan Abd Razak, “Comparison of Fuzzy Control Rules using MATLAB Toolbox and Simulink for DC Induction Motor-Speed Control”, 2009 International Conference of Soft Computing and Pattern Recognition.
[14] S. Rajasekaran, G.A. Vijaylakshmi Pai”Neural Networks, fuzzy logic, and genetic algorithms synthesis and applications”, Prentice Hall India, Eastern Economy Edition,(2005)
[15] Mohammad Abdul Mannan, Asif Islam, Mohammad Nasir Uddin, Mohammad Kamrul Hassan, Toshiaki Murata, Junji Tamura, “Fuzzy logic based Speed Control of Induction Motor considering core loss into account”, Intelligent Control and Automation, 2012, 3, 229-235, http://dx.doi.org/10.4236/ica.2012.33026
[16] Marwan A. Badran, Mostafa A. Hamood, Waleed F Faris, Fuzzy Logic Based Speed Control System for Three-Phase Induction Motor. “Eftimie Murgu” Resita, Anul XX, NR, 1,2013, ISSN 1453-7397
[17] Mohammad Abdul Mannan, Asif Islam, Mohammad Nasir Uddin, Mohammad Kamrul Hassan, Toshiaki Murata, Junji Tamura, “Fuzzy logic based Speed Control of Induction Motor considering core loss into account”, Intelligent Control and Automation, 2012, 3, 229-235, http://dx.doi.org/10.4236/ica.2012.33026
[18] www.wikipedia.org

Keywords
VFD, PLC, RS-Logix, Ladder Logic Programming, Fuzzy Logic Controller