An adaptive sampling method for a highly reliable digital control power converter

Saysanasongkham, Aromhack; Arai, Masayuki; Fukumoto, Satoshi; Takeuchi, Shun; Wãda, Keiji

doi:10.1109/ifeec.2013.6687596

Cited by 1 publication

(4 citation statements)

References 8 publications

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“…For example, when the operation is performed under the condition of operation duty ratio d * = 11.5%, Eq. (11) suggests that at least one sampling is possible for ONtime and OFF-time, respectively, if T away is set at 4.5 μs or below. Figure 10 shows the step-response waveform in application of the noiseless sampling.…”

Section: T Away Conditions For Acquiring Mean Value In Noiseless Sampmentioning

confidence: 99%

“…This is attributed to T away of 6.5 μs, which fails to meet the conditions of Eq. (11) and the mean output current was not sampled. Namely, a deviation emerges in the current feedback control when the current sampling was not made either for ON-time or for OFF-time.…”

Section: T Away Conditions For Acquiring Mean Value In Noiseless Sampmentioning

confidence: 99%

“…The mean value sampling is possible in the range 15.5% < d < 84.5%, which is derived from Eqs. (11) and (12) under the condition of T away = 6.5 μs. It is verified that the error in the above period turned out to be almost zero as represented by symbol ×.…”

Section: Stationary Value Associated With Noiseless Sampling Applicationmentioning

confidence: 99%

“…In this process, it has been reported that a phase lag occurs at some filter design values, which negatively affects the controllability and exert influence on the circuit operation . On the other hand, alternative countermeasures focusing on the sampling point for the triangular‐wave comparison method and the sawtooth‐wave comparison method are also proposed .…”

Section: Introductionmentioning

confidence: 99%

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Current Control of a Single‐Phase Inverter by Applying a Multisampling Method

Takeuchi

Wada

2016

Elect Comm in Japan

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SUMMARY In digitally controlled circuits for power electronic circuits, sampling data are important because the digital control circuit is operated on the basis of these data. If the sampled values have been affected by switching noise from the power circuit, the control stability of the circuit would be disturbed. This paper proposes a noiseless sampling method that can sample a value without being affected by the switching noise. The synchronous sampling method may be affected by the switching noise depending on the duty ratio of the circuit. The noiseless sampling method does not obtain data immediately after turn‐on and turn‐off switching. The control circuit can avoid the switching noise by using noiseless sampling, which leads to a disturbance in the control circuit and enhances the robustness of the circuit when applying the multisampling method. Experimental results are presented to verify that the current control of the proposed sampling method is not disturbed by the switching noise even in the absence of a noise filter.

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Section: T Away Conditions For Acquiring Mean Value In Noiseless Sampmentioning

confidence: 99%

Section: T Away Conditions For Acquiring Mean Value In Noiseless Sampmentioning

confidence: 99%