Using Neural Network for Execution of Programmed Pulse Width Modulation (PPWM) Method

Application of neural networks in execution of programmed pulse width modulation (PPWM) of a voltage source inverter (VSI) is studied in this paper. Using the proposed method it is possible to cancel out the desired harmonics in output of VSI in addition to control the magnitude of fundamental harmonic, contineously. By checking the non-trained values and a performance index, the most appropriate neural network is proposed. It is shown that neural networks may solve the custom difficulties of practical utilization of PPWM such as large size of memory, complex digital circuits and controlling the magnitude of output voltage in a discrete manner.

Authors:

• M. Tarafdar Haque
• A. Taheri

Keywords:

• Neural Network
• Inverter
• PPWM.

References:

[1] M. Tarafdar Haque and S. H. Hosseini, "The Presentation of a New
Power Circuit and Modulation Method for Three-Phase inverters",
ICPE- 95, Seoul-Korea, 466-470.
[2] M. Tarafdar Haque and S. H. Hosseini, "The Presentation of a New
Active Filter with Amplitude Modulation of Difference Wave", PEMC-
94, Warsaw, 231-235.
[3] M. H. Kim, M. Godoy and B. K. Bose, "Neural network Based
Estimation of Power Electronic Waveforms", IEEE Trans. On Power
Electronics, Vol. 11, No. 2 (March/April1996), 383-389.
[4] M. Y. Chow, R. N. Sharpe and J. C. Hung, "On the Application and
Design of Artifical Neural Networks for Motor Fault Detection- Part I
and II," IEEE Trans. On Industrial Electronics, Vol. 40, No. 2, (April
1993), 181-196.
[5] S. H. Hosseini and M. Tarafdar Haque, "The Compensation of Power
System by Inverter," ICEE- 93, Amir Kabir University, IRAN, 148-154.
[6] P. N. Enjeti, P. D. Ziogas and J. F. Lindsay, "Programmed PWM
Technique to Eliminate Harmonics," IEEE Trans. On Power Electronics,
Vol. 26, No. 2. (March/ April 1990), 302-315.