Ripple-Based Control of Switching Regulators—An Overview

Redl, R.; Sun, Jian

doi:10.1109/tpel.2009.2032657

Cited by 317 publications

(165 citation statements)

References 12 publications

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“…In Fig 1, the parasitic elements are included to improve the model accuracy and to demonstrate the importance of considering non-ideal components for system identificatio in applications such as power electronic converters. For instance, in the buck converter, the equivalent series resistor R C cannot be ignored because it adds a zero to the transfer function (1), which has a negative impact on the dynamic behaviour of the converter [18]. In addition, its value may be used as a diagnostic indicator of capacitor aging [14].…”

Section: A Discrete Time Modelingmentioning

confidence: 99%

Real-Time Parameter Estimation of DC–DC Converters Using a Self-Tuned Kalman Filter

Ahmeid

Armstrong

Gadoue

et al. 2017

IEEE Trans. Power Electron.

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Abstract-To achieve high-performance control of modern dcdc converters, using direct digital design techniques, an accurate discrete model of the converter is necessary. In this paper, a new parametric system identification method, based on a Kalman filter (KF) approach is introduced to estimate the discrete model of a synchronous dc-dc buck converter. To improve the tracking performance of the proposed KF, an adaptive tuning technique is proposed. Unlike many other published schemes, this approach offers the unique advantage of updating the parameter vector coefficients at different rates. The proposed KF estimation technique is experimentally verified using a Texas Instruments TMS320F28335 microcontroller platform and synchronous step-down dc-dc converter. Results demonstrate a robust and reliable real-time estimator. The proposed method can accurately identify the discrete coefficients of the dc-dc converter. This paper also validates the performance of the identification algorithm with time-varying parameters, such as an abrupt load change. The proposed method demonstrates robust estimation with and without an excitation signal, which makes it very well suited for real-time power electronic control applications. Furthermore, the estimator convergence time is significantly shorter compared to many other schemes, such as the classical exponentially weighted recursive least-squares method.

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Section: A Discrete Time Modelingmentioning

confidence: 99%

Real-Time Parameter Estimation of DC–DC Converters Using a Self-Tuned Kalman Filter

Ahmeid

Armstrong

Gadoue

et al. 2017

IEEE Trans. Power Electron.

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“…Moreover, the output voltage should change as quickly as possible for fast transient response [7]. For the purpose of achieving these goals, a hysteretic buck converter is suitable due to inherent characteristics of fast transient response, unconditionally stable operation, and simple composition [8][9][10][11][12][13][14]. However, the switching frequency of the conventional hysteretic buck converter can become too low due to small parasitic R ESR , which may result in non-negligible acoustic noise interference [9,13].…”

Section: Introductionmentioning

confidence: 99%

“…However, the switching frequency of the conventional hysteretic buck converter can become too low due to small parasitic R ESR , which may result in non-negligible acoustic noise interference [9,13]. It is also very sensitive to variations on V DD and V OUT , resulting in a wide range of noise spectrum [8].…”

Section: Introductionmentioning

confidence: 99%

Ultra-fast Adaptive Frequency-controlled Hysteretic Buck Converter for Portable Devices

Kim¹,

Kong²

2016

JSTS:Journal of Semiconductor Technology and Science

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Abstract-The paper describes a hysteretic buck converter including a differentiator and an adaptive hysteresis window controller. Differentiating the feedback signal achieves ultra-fast switching of the buck converter. The adaptive hysteresis window control allows a monotonous operation with predictable noise spectrum, and gives way to efficient design for variable supply and output voltages. The measurement results in a 0.13-μm CMOS process indicated that the switching frequency became double times higher, and the voltage ripple was reduced by up to 69%. They also indicated that the normalized switching frequency variation was reduced by 74% with variable V DD and by 63% with variable V OUT . The power efficiency was improved by 3.5% depending on loading condition. Index Terms-Hysteretic buck converter, adaptive hysteresis window control, variable supply voltage

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“…Well known non-linear strategies are V 2 ([1], [2] and [3]) or hysteretic control of the output voltage [3]. Both require sensing the output voltage ripple, which is very small compared to the DC value and it is very sensitive to parasitic effects.…”

Section: Introductionmentioning

confidence: 99%

V<sup>2</sup>I<inf>C</inf> control: A novel control technique with very fast response under load and voltage steps

Viejo

Alou

Oliver

et al. 2011

2011 Twenty-Sixth Annual IEEE Applied Power Electronics Conference and Exposition (APEC)

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Abstract-High switching frequencies (several MHz) allow the integration of low power DC/DC converters. Although, in theory, a high switching frequency would make possible to implement a conventional voltage mode control with very high bandwidth, in practice, parasitic effects and robustness make very complex to achieve bandwidths higher than 1MHz. This paper proposes a fast control technique to optimize the dynamic response of high switching frequency DC/DC converters. The proposed control is based on two loops. The fast internal loop has information of the output capacitor current and the error voltage, providing fast dynamic response under load and output voltage reference steps, while the slow external voltage loop provides accurate steady state regulation. Experimental results validate the fast dynamic response of the proposed control under load and output voltage reference steps and its suitability for high switching frequencies.

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Ripple-Based Control of Switching Regulators—An Overview

Cited by 317 publications

References 12 publications

Real-Time Parameter Estimation of DC–DC Converters Using a Self-Tuned Kalman Filter

Real-Time Parameter Estimation of DC–DC Converters Using a Self-Tuned Kalman Filter

Ultra-fast Adaptive Frequency-controlled Hysteretic Buck Converter for Portable Devices

V<sup>2</sup>I<inf>C</inf> control: A novel control technique with very fast response under load and voltage steps

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