2018
DOI: 10.1109/tpel.2018.2808038
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A Review of Spread-Spectrum-Based PWM Techniques—A Novel Fast Digital Implementation

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Cited by 101 publications
(56 citation statements)
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“…The comparison between Equation (10) and Equation (1) shows that the calculation of T n+1 with the method in this paper is simpler than the method in [22]. In addition, there is no need to calculate D n+1 .…”
Section: Calculation For Switching Cyclementioning
confidence: 93%
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“…The comparison between Equation (10) and Equation (1) shows that the calculation of T n+1 with the method in this paper is simpler than the method in [22]. In addition, there is no need to calculate D n+1 .…”
Section: Calculation For Switching Cyclementioning
confidence: 93%
“…The calculation of the switching cycle T n+1 is very significant in the RPWM selective harmonic elimination method. The formula for T n+1 and its corresponding pulse position in [22] are shown in Equation (1) and Figure 2a, where D n and D n+1 are the duty ratios of the nth and (n+1)th switching cycles, k is the random number, f 0 is the frequency to be eliminated, and T n is the nth switching cycle.…”
Section: Strategy Of Selective Harmonic Elimination In Rpwmmentioning
confidence: 99%
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“…Compared with the most widely used constant switching-frequency PWM (CSFPWM) method, the variable switching-frequency PWM (VSFPWM) method can use the added freedom of switching frequency to optimize the related performance of power electronic converters [7] . The switching-frequency variation can be based on two major groups of principles: random and periodic variations.…”
Section: Introductionmentioning
confidence: 99%
“…The CFM schemes spread the power of the switching frequency harmonics to a certain frequency band to reduce the peak spectral power of the harmonics generated by the PWM and eventually, decrease the conducted EMI. CFM schemes include random modulation [9,10], chaotic modulation [11][12][13][14], and periodic modulation [15][16][17][18]. The modulated spectrum distributions between the random system and the chaotic system are similar because of the intrinsic randomness.…”
Section: Introductionmentioning
confidence: 99%