CFP last date
20 June 2024
Reseach Article

DC Shunt Motor Control using Wavelet Network

by Mohammed Kamil Hilfi, David Cheng
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 15
Year of Publication: 2014
Authors: Mohammed Kamil Hilfi, David Cheng
10.5120/17258-7606

Mohammed Kamil Hilfi, David Cheng . DC Shunt Motor Control using Wavelet Network. International Journal of Computer Applications. 98, 15 ( July 2014), 13-18. DOI=10.5120/17258-7606

@article{ 10.5120/17258-7606,
author = { Mohammed Kamil Hilfi, David Cheng },
title = { DC Shunt Motor Control using Wavelet Network },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 15 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number15/17258-7606/ },
doi = { 10.5120/17258-7606 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:26:16.359507+05:30
%A Mohammed Kamil Hilfi
%A David Cheng
%T DC Shunt Motor Control using Wavelet Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 15
%P 13-18
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a dc shunt motor with fixed speed control system is presented, a wavelet neural network control scheme is proposed to control the speed of shunt DC motor, the wavelet neural network (WNN) is used and optimized using particle swarm optimization (PSO) algorithm. The performance is measured depending on values of mean square error (MSE). The work is divided into two sections, in the first section, the feedback control system is implemented using wavelet neural network, buck DCDC converter and DC shunt motor model, the parameters of wavelet neural network is optimized using PSO. In the second section, number of measurements are used to calculate the response of DC shunt motor depending on the different torque values. Simulation of DC Shunt motor is specially designed to test and implement the proposed control schemes using MATLAB Version 7. 12. 0. 635(R2011a).

References
  1. M. S. H. Lipu and T. F. Karim, "Energy Efficiency Opportunities and Savings Potential for Electric Motor and Its Impact on GHG Emissions Reduction," International Journal of Electrical and Computer Engineering (IJECE) , vol. 3, no. 4, pp. 533-542, 2013.
  2. S. Shrivastava, J. Rawat and A. Agrawal, "Controlling DC Motor using Microcontroller (PIC16F72) with PWM," International Journal of Engineering Research, vol. 1, no. 2, pp. 45-47, 2012.
  3. R. Soni, D. Singh, P. Pandey and P. Sharma, "Simulation of Optimal Speed Control for a DC Motor Using Conventional PID Controller and Fuzzy Logic Controller," International Journal of Information and Computation Technology, vol. 3, no. 3, pp. 181-188, 2013.
  4. J. S. Chauhan and S. Semwal, "Microcontroller Based Speed Control of DC Geared Motor Through RS-232 Interface With PC," International Journal of Engineering Research and Applications (IJERA), vol. 3, no. 1, pp. 778-783, 2013.
  5. H. m. Fayek and I. Elamvazuthi, "Type-2 Fuzzy Logic PI (T2FLPI) based DC Servomotor Control," Journal of Applied Sciences Research , vol. 8, no. 5, pp. 2564-2574, 2012.
  6. A. M. Adday and M. Z. . . Othman, "Combined Armature and Field Fuzzy Speed Control of a DC Motor for Efficiency Enhancement," Al-Rafidain Engineering, vol. 20, no. 6, pp. 117-129, 2012.
  7. P. K. SAHOO and N. K. BARIK, "Speed Control of Seperately Exited DC Motor Using Self Tuned Fuzzy PID Controller," National Institute of Technology, Rourkela, 2010-2011.
  8. A. FAIZY and S. KUMAR, "DC MOTOR CONTROL USING CHOPPER," Department of Electrical Engineering-National Institute of Technology , Rourkela, India .
  9. S. K. Viswanath, M. Gowtham, P. A. Kumar and K. R. Naik, "SPEED CONTROL OF A DC MOTOR USING MICROCONTROLLER 8051," ELECTRICAL AND ELECTRONICS ENGINEERING-GOKARAJU RANGARAJU INSTITUTES OF ENGINEERING AND TECHNOLOGY, HYDERABAD, 2011.
  10. H. Chen, Y. Lu and L. Tu, "Fault Identification of Gearbox Degradation with Optimized Wavelet Neural Network," Shock and Vibration, vol. 20, no. 2, pp. 247-262, 2013.
  11. Y. HUANG and S. YU, "Explosive Ordnance Disposal Robot Path Planning Based on Danger Model Immune Wavelet Neural Network," Advances in information Sciences and Service Sciences (AISS), vol. 3, no. 11. 18, 2011.
  12. T. Y. Abdalla and M. I. Hamzah, "Trajectory Tracking Control for Mobile Robot using Wavelet Network," International Journal of Computer Applications, vol. 74, no. 3, pp. 32-37, 2013.
  13. Q. Bai, "Analysis of Particle Swarm Optimization Algorithm," Computer and Information Science, vol. 3, no. 1, pp. 180-184, 2010.
  14. Z. Bashir and M. EL-Hawary, "Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks," IEEE TRANSACTION ON POWER SYSTEMS, vol. 24, no. 1, pp. 20-27, 2009.
  15. J. Chao, W. Bo and H. Youmin, "Wavelet Neural Network Based on NARMA¬L2 Model for Prediction of Thermal Characteristics in a Feed System," CHINESE JOURNAL OF MECHANICAL ENGINEERING , vol. 23, pp. 1-10, 2010.
  16. Y. Bodyanskiy, I. Pliss and O. Vynokurova, "ADAPTIVE WAVELET-NEURO-FUZZY NETWORK IN THE FORECASTING AND EMULATION TASKS," International Journal "Information Theories & Applications, vol. 15, pp. 47-55, 2008.
  17. B. ALLAOUA, B. GASBAOUI and B. MEBARKI, "Setting Up PID DC Motor Speed Control Alteration Parameters Using Particle Swarm Optimization Strategy," Leonardo Electronic Journal of Practices and Technologies , no. 14, pp. 19-32, 2009.
  18. M. Tushir and S. Srivastava, "Type-2 fuzzy logic controller Implementation for tracking control of DC motor," International Journal of Computer Network and Security (IJCNS), vol. 3, no. 1, pp. 34-41.
Index Terms

Computer Science
Information Sciences

Keywords

DC shunt motor speed control wavelet neural network PSO.