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.
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:63363", author = "M. Tarafdar Haque and A. Taheri", title = "Using Neural Network for Execution of Programmed Pulse Width Modulation (PPWM) Method", abstract = "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.", keywords = "Neural Network, Inverter, PPWM.", volume = "1", number = "6", pages = "926-4", }