375
tation of flying train is an advanced technology by confirming the computation
model of introducing 3D numerical simulation of propulsive force, impulsive force,
and its 3D k-omega mechanism to control the aerodynamics that will indeed end up
the dependability on the old-fashioned connectivity within the cities and rural areas.
Simply, if the urban and rural connectivity thoughts are modernized by this innovative technology of flying train, it will be a new epoch of science to dispatch unembellished transportation system within the urban and rural communication.
Acknowledgements This research was supported by Green Globe Technology under the grant
RD-02020-03. Any findings, conclusions, and recommendations expressed in this chapter are
solely those of the author and do not necessarily reflect those of Green Globe Technology.
References
1. Adriá Junyent-Ferré, Oriol Gomis-Bellmunt, Andreas Sumper, Marc Sala, Montserrat
Mata, Modeling and control of the doubly fed induction generator wind turbine, Simulation
Modelling Practice and Theory, vol. 18, 2010, pp. 1365-1381.
2. M. F. Hossain (2020). Application of wind energy into the transportation sector. International
Journal of Precision Engineering and Manufacturing-Green Technology. DOI: https://doi.
org/10.1007/s40684-020-00235-1. (Springer).
3. Tamalouzt, Salah, Toufik Rekioua, and Rachid Abdessemed. “Direct torque and reactive
power control of grid connected doubly fed induction generator for the wind energy conversion”, 2014 International Conference on Electrical Sciences and Technologies in Maghreb
(CISTEM), 2014.
4. Ali M. Eltamaly, Hassan M. Farh, Maximum power extraction from wind energy system based
on fuzzy logic control, Electric Power Systems Research, vol. 97, 2013, pp. 144– 150.
5. Chierchie, F. and Paolini, E. (2013). Real-Time Digital PWM with Zero Baseband Distortion
and Low Switching Frequency. IEEE Transactions on Circuits and Systems I: Regular Papers,
60(10), pp. 2752-2762.
6. De, Juan, and Janaina Goncalves de Oliveir. “Electric Machine Topologies in Energy Storage
Systems”, Energy Storage, 2010.
7. Belgacem, Kh.; Mezouar, A. and Massoum, A. “Fuzzy Logic Control of Double-Fed Induction
Generator Wind Turbine”, International Review on Modelling & Simulations, 2013.
8. Casella, I., Capovilla, C., Sguarezi Filho, A., Jacomini, R., Azcue-Puma, J. and Ruppert, E.
(2013). An ANFIS Power Control for Wind Energy Generation in Smart Grid Scenario Using
Wireless Coded OFDM-16-QAM. Journal of Control, Automation and Electrical Systems,
25(1), pp. 22-31.
9. Chikouche, T., Hadjeri, S., Mezouar, A., Terras, T., A New State-Space Nonlinear Control
Approach of a Doubly Fed Induction Motor Using Variable Gain PI and Fuzzy Logic
Controllers, (2013) International Review on Modelling and Simulations (IREMOS), 6 (1),
pp. 59-67.
10. M. F. Hossain. “Transforming dark photons into sustainable energy”, International Journal of
Energy and Environmental Engineering, 2018
11. Terrafugia’s Transition street-legal airplane continues flight and drive testing”. Terrafugia.
Retrieved 30 July 2012.
12. Boroujeni, H. Z., M. F. Othman, A. H. Shirdel, R. Rahmani, P. Movahedi, and E. S. Toosi.
“Improving waveform quality in direct power control of DFIG using fuzzy controller”, Neural
Computing and Applications, 2015.
References
tation of flying train is an advanced technology by confirming the computation
model of introducing 3D numerical simulation of propulsive force, impulsive force,
and its 3D k-omega mechanism to control the aerodynamics that will indeed end up
the dependability on the old-fashioned connectivity within the cities and rural areas.
Simply, if the urban and rural connectivity thoughts are modernized by this innovative technology of flying train, it will be a new epoch of science to dispatch unembellished transportation system within the urban and rural communication.
Acknowledgements This research was supported by Green Globe Technology under the grant
RD-02020-03. Any findings, conclusions, and recommendations expressed in this chapter are
solely those of the author and do not necessarily reflect those of Green Globe Technology.
References
1. Adriá Junyent-Ferré, Oriol Gomis-Bellmunt, Andreas Sumper, Marc Sala, Montserrat
Mata, Modeling and control of the doubly fed induction generator wind turbine, Simulation
Modelling Practice and Theory, vol. 18, 2010, pp. 1365-1381.
2. M. F. Hossain (2020). Application of wind energy into the transportation sector. International
Journal of Precision Engineering and Manufacturing-Green Technology. DOI: https://doi.
org/10.1007/s40684-020-00235-1. (Springer).
3. Tamalouzt, Salah, Toufik Rekioua, and Rachid Abdessemed. “Direct torque and reactive
power control of grid connected doubly fed induction generator for the wind energy conversion”, 2014 International Conference on Electrical Sciences and Technologies in Maghreb
(CISTEM), 2014.
4. Ali M. Eltamaly, Hassan M. Farh, Maximum power extraction from wind energy system based
on fuzzy logic control, Electric Power Systems Research, vol. 97, 2013, pp. 144– 150.
5. Chierchie, F. and Paolini, E. (2013). Real-Time Digital PWM with Zero Baseband Distortion
and Low Switching Frequency. IEEE Transactions on Circuits and Systems I: Regular Papers,
60(10), pp. 2752-2762.
6. De, Juan, and Janaina Goncalves de Oliveir. “Electric Machine Topologies in Energy Storage
Systems”, Energy Storage, 2010.
7. Belgacem, Kh.; Mezouar, A. and Massoum, A. “Fuzzy Logic Control of Double-Fed Induction
Generator Wind Turbine”, International Review on Modelling & Simulations, 2013.
8. Casella, I., Capovilla, C., Sguarezi Filho, A., Jacomini, R., Azcue-Puma, J. and Ruppert, E.
(2013). An ANFIS Power Control for Wind Energy Generation in Smart Grid Scenario Using
Wireless Coded OFDM-16-QAM. Journal of Control, Automation and Electrical Systems,
25(1), pp. 22-31.
9. Chikouche, T., Hadjeri, S., Mezouar, A., Terras, T., A New State-Space Nonlinear Control
Approach of a Doubly Fed Induction Motor Using Variable Gain PI and Fuzzy Logic
Controllers, (2013) International Review on Modelling and Simulations (IREMOS), 6 (1),
pp. 59-67.
10. M. F. Hossain. “Transforming dark photons into sustainable energy”, International Journal of
Energy and Environmental Engineering, 2018
11. Terrafugia’s Transition street-legal airplane continues flight and drive testing”. Terrafugia.
Retrieved 30 July 2012.
12. Boroujeni, H. Z., M. F. Othman, A. H. Shirdel, R. Rahmani, P. Movahedi, and E. S. Toosi.
“Improving waveform quality in direct power control of DFIG using fuzzy controller”, Neural
Computing and Applications, 2015.
References