Parameter Design of Damping Networks for the Superbuck Converter

Jia, Pengyu; Zheng, Trillion Q.; Li, Yan

doi:10.1109/tpel.2012.2231945

Cited by 25 publications

(8 citation statements)

References 15 publications

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“…T(s) can be derived. Hence G vd and Z out have the same denominator [15]. The zeroes of G vd become the poles of the active damping controller H(s).…”

Section: Active Damping Controller For a Voltage-source Convertermentioning

confidence: 98%

“…

u = [\begin{matrix} \hat{d} & {\overset{false^}{i}}_{o} & {\overset{false^}{v}}_{g} \end{matrix}]^{T}

According to the small signal model of the DC–DC converter, the state space equations can be given as follows

\dot{x} = A x + B u

y = C x + D u

When a transfer function T ( s ) needs to be computed by the state space equations, according to (9)

\begin{matrix} right leftthickmathspace.5em \\ T (s) & = C false(s I - A false)^{- 1} B \\ = \frac{det (s I - A + B C) - det (s I - A)}{det (s I - A)} \end{matrix}

T ( s ) can be derived. Hence G vd and Z out have the same denominator [15]. The zeroes of G vd become the poles of the active damping controller H ( s ).…”

Section: Active Damping Controller For a Voltage‐source Convertermentioning

confidence: 99%

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Active damping method to reduce the output impedance of the DC–DC converters

Jia

Zheng

2015

IET Power Electronics

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In the cascaded power system, instability may occur because of the impedance interaction. The system can be stabilised by passive damping or control methods to reduce the output impedance of the source converter and improve the damping characteristics. This study focuses on the source converter in the cascaded system and presents a new active damping control to reduce the output impedance of the converter by a proper active damping controller. The method to compute the corresponding active damping controller is proposed in this study. By the application of the active damping method, a virtual resistor in parallel with the output of the converter's small signal model can be realised. Therefore the output impedance can be reduced. Because the virtual resistor exists only in the small signal model, the steady-state operating point is not affected and the value of the virtual resistor can be changed. The experiment results of a Buck converter with the active damping controller under different conditions are proposed to verify the effectiveness of the active damping control. Besides, an active damping controller is applied to an unstable cascaded system in simulation to stabilise the cascaded system so the effectiveness of this method is also verified.

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“…T(s) can be derived. Hence G vd and Z out have the same denominator [15]. The zeroes of G vd become the poles of the active damping controller H(s).…”

Section: Active Damping Controller For a Voltage-source Convertermentioning

confidence: 98%

“…

u = [\begin{matrix} \hat{d} & {\overset{false^}{i}}_{o} & {\overset{false^}{v}}_{g} \end{matrix}]^{T}

According to the small signal model of the DC–DC converter, the state space equations can be given as follows

\dot{x} = A x + B u

y = C x + D u

When a transfer function T ( s ) needs to be computed by the state space equations, according to (9)

\begin{matrix} right leftthickmathspace.5em \\ T (s) & = C false(s I - A false)^{- 1} B \\ = \frac{det (s I - A + B C) - det (s I - A)}{det (s I - A)} \end{matrix}

T ( s ) can be derived. Hence G vd and Z out have the same denominator [15]. The zeroes of G vd become the poles of the active damping controller H ( s ).…”

Section: Active Damping Controller For a Voltage‐source Convertermentioning

confidence: 99%

Active damping method to reduce the output impedance of the DC–DC converters

Jia

Zheng

2015

IET Power Electronics

Self Cite

View full text Add to dashboard Cite

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“…Since the Superbuck converter has two capacitors and two inductors, its small signal model is a fourth-order system. The small signal model of the Superbuck converter has been derived [18], indicating the transfer function between output (V out ) and control signal (d).…”

Section: Frequency Domain Performancementioning

confidence: 99%

Detection and Classification of Recessive Weakness in Superbuck Converter Based on WPD-PCA and Probabilistic Neural Network

Yue

Wang

et al. 2019

Electronics

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This paper proposes a detection and classification method of recessive weakness in Superbuck converter through wavelet packet decomposition (WPD) and principal component analysis (PCA) combined with probabilistic neural network (PNN). The Superbuck converter presents excellent performance in many applications and is also faced with today’s demands, such as higher reliability and steadier operation. In this paper, the detection and classification issue to recessive weakness is settled. Firstly, the performance of recessive weakness both in the time and frequency domain are demonstrated to clearly show the actual deterioration of the circuit system. The WPD and Parseval’s theorem are utilized in this paper to feature the extraction of recessive weakness. The energy discrepancy of the fault signals at different wavelet decomposition levels are then chosen as the feature vectors. PCA is also employed to the dimensionality reduction of feature vectors. Then, a probabilistic neural network is applied to automatically detect and classify the recessive weakness from different components on the basis of the extracted features. Finally, the classification accuracy of the proposed classification algorithm is verified and tested with experiments, which present satisfying classification accuracy.

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“…Analyzing the guided wave pattern of each wave packet to effectively identify the defect echo signal. By extracting the structure and defect information of the weld, modal separation and defect recognition are realized [26]. The literature [27] applies the Wigner-Ville distribution to study the frequency, amplitude, and energy distribution characteristics of signals in wide-area measurement systems.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Analysis of CCM Superbuck Converter Using Wigner-Ville Distribution

Liu

et al. 2020

Wseas Transactions on Circuits and Systems

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In order to analyze the bifurcation and chaos of Superbuck converter in Continuous Current Mode (CCM), a new method of time-frequency diagram based on Wigner-Ville distribution is proposed. The method is used to analyze the variation of the energy component of the output voltage with frequency and time. It reveals that the Superbuck converter exhibits period-1 bifurcation, period-2 bifurcation, period-4 bifurcation and chaos under different reference current. The results of the time-frequency diagram are consistent with the results of the bifurcation diagram, time-domain diagram, phase diagram and Poincare section. It proves that the method can deeply understand the nature of bifurcation and chaos in Superbuck converter, and it provides a new way to analyze the nonlinear phenomena of DC-DC converter

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Parameter Design of Damping Networks for the Superbuck Converter

Cited by 25 publications

References 15 publications

Active damping method to reduce the output impedance of the DC–DC converters

Active damping method to reduce the output impedance of the DC–DC converters

Detection and Classification of Recessive Weakness in Superbuck Converter Based on WPD-PCA and Probabilistic Neural Network

Nonlinear Analysis of CCM Superbuck Converter Using Wigner-Ville Distribution

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