article · 2002
Fast space vector modulation based on a neurocomputing digital signal processor
Alireza Bakhshai, G. Joós, José Espinoza, H. Jin
Cited by 17Abstract and details only
Abstract
This paper presents a novel approach to the implementation of the space vector modulation (SVM). The proposed technique takes advantage of a modified Kohonen's competitive layer to calculate the on duration of the adjacent switching state vectors. By using this technique: (a) the hardware and software complexity of the system is reduced; (b) the maximum attainable switching frequency and thus the bandwidth of the control system is increased; and (c) the waveform degradation and parasitic harmonics resulting from inaccurate calculations are avoided. The proposed method is compared to the conventional implementations of SVM techniques in terms of hardware/software requirements, switching frequency, computation time, and harmonic spectra. The method is applied to a DSP controlled 3 kVA unit (voltage source inverter) and experimental results verify the validity of theoretical and simulation results.
Cite this paper
Bakhshai, A., Joós, G., Espinoza, J., & Jin, H. (2002). Fast space vector modulation based on a neurocomputing digital signal processor. https://doi.org/10.1109/apec.1997.575748
Bakhshai, Alireza, et al. “Fast space vector modulation based on a neurocomputing digital signal processor.” vol. 2, 2002, pp. 872–78, https://doi.org/10.1109/apec.1997.575748.
Bakhshai, Alireza, G. Joós, José Espinoza, and H. Jin. 2002. “Fast space vector modulation based on a neurocomputing digital signal processor.” https://doi.org/10.1109/apec.1997.575748.
Bakhshai, A. et al. (2002) ‘Fast space vector modulation based on a neurocomputing digital signal processor’. Available at: https://doi.org/10.1109/apec.1997.575748.
@article{bakhshai2002fast,
title = {{Fast space vector modulation based on a neurocomputing digital signal processor}},
author = {Bakhshai, Alireza and Joós, G. and Espinoza, José and Jin, H.},
volume = {2},
pages = {872--878},
year = {2002},
doi = {10.1109/apec.1997.575748}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.