Digital Implementation of Boundary Control with Second-order Switching Surface for Inverters

Au, K.T.K.; Ho, Carl Ngai Man; Chung, Henry Shu-Hung; Lau, Wing Cheong; Yan, W.T.

doi:10.1109/pesc.2007.4342246

Cited by 14 publications

(7 citation statements)

References 33 publications

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“…It was tested using analog surfaces for ideal buck converters [29]- [31] and for inverters [32]. Later, it was tested using digital surfaces for inverters [33]. More rigorous surface solutions without ripple approximation were found for idealbuck converters and ideal inverters (LTI systems) in [26], [34], respectively.…”

Section: Review: Minimum-time Disturbance Recoverymentioning

confidence: 99%

“…Previous work on minimum-time was valid for a single topology containing ideal components, specific component ranges, and sometimes specific types of disturbances [26]- [28], [31]- [33], [35], [37], [38], [41], [42]. Closed forms often involve a glut of algebraic manipulations, substitutions, and approximations, whereas as open form is a simple integration.…”

Section: Review: Minimum-time Disturbance Recoverymentioning

confidence: 99%

“…7, by overlaying the most common: second-order surfaces [26], [31]- [33], charge balance [27], [28], [37], [38], [42] method [38], and proximate time [35], [41]. All were resolved in terms of x and λ-as they should be for state-plane comparison.…”

Section: Review: Minimum-time Disturbance Recoverymentioning

confidence: 99%

“…This paper demonstrates MTC with a buck and boost converter models that power discrete resistances and contain components that have series resistances. The same techniques were also applied for current-source-load buck converters in [33], which had shapes similar to resistive loads. The current-source load was a parameter in B matrices (1) and δ vector (3), respectively, that affected PWL and SSA model dynamics.…”

Section: Review: Minimum-time Disturbance Recoverymentioning

confidence: 99%

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Minimum-Time Transient Recovery for DC–DC Converters Using Raster Control Surfaces

Pitel

Krein

2009

IEEE Trans. Power Electron.

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Fast power converters are desired in microprocessors, audio, and servomotor power supplies. Fixed-topology dc-dc converters have a minimum time in which to respond to line, load, and control change. This response depends on converter control, topology, and circuit parameters. Minimum-time control (MTC) considers these three items when it predicts postdisturbance steady-state points and directs capacitor voltage and inductor current in the shortest time. In this paper a nonlinear model-predictive control steers energy using geometrical curved control surfaces derived from piecewise linear (PWL) and bilinear models. The MTC differs from previous work on the topic in that it considers lossy com- ponents (a cause for nontriangular ripple) and is an open-form solution (as originally proposed by LaSalle in 1959). The different approach revealed a quantitative link between the needed control surface memory and state/parameter resolution. Results are generalized for two-state dc-dc converters and all parameter/controldisturbances. An unconventional digital method was devised to accommodate the open-form solutions. It involved a priori control surface calculations, A/D scaling, surface quantizing, and image compression. The final control executed no real-time arithmetic operations. MTC performance was compared with other pulsewidth modulation controls and time-optimal control in simulations, and tests were performed in hardware using synchronous buck and boost converters.

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Section: Review: Minimum-time Disturbance Recoverymentioning

confidence: 99%

Section: Review: Minimum-time Disturbance Recoverymentioning

confidence: 99%

Section: Review: Minimum-time Disturbance Recoverymentioning

confidence: 99%

Section: Review: Minimum-time Disturbance Recoverymentioning

confidence: 99%

See 2 more Smart Citations

Minimum-Time Transient Recovery for DC–DC Converters Using Raster Control Surfaces

Pitel

Krein

2009

IEEE Trans. Power Electron.

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“…One The majority of the non-linear control methods are based on boundary control theory [111,112]. In boundary control, the DC-DC system is modeled as a time-varying system that can operate in two distinct circuit topologies.…”

Section: Reported Load Transient Recovery Methodsmentioning

confidence: 99%

Analysis and design of a highly efficient and versatile DC-DC converter

Yu¹

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I would like to express my sincere gratitude to my supervisor, Dr. Siek Liter, for his patience and encouragement throughout my research work. His guidance and advices helped to overcome many difficulties that I faced during my research. Next, I am grateful to Panasonic and Qualcomm for the support that I have received for my research in Nanyang Technological University of Singapore (NTU). Throughout the program, I am glad to have the opportunity to collaborate with numerous researchers, especially Chew Kin Wai Roy, Sun Zhuochao, Howard Tang, Kok Chiang Liang, Zhu Di and many more. Many ideas and solutions have come from mutual sharing sessions and discussions. I would also like to thank the staffs in VIRTUS and VLSI labs of NTU for their kind assistance in providing a conducive environment for research and to conduct laboratory measurements. Last but not least, I would like to express my gratitude to my family members for their utmost support and understanding for my pursuit in this research work.

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Adaptive dynamic voltage transitioning in switch mode DC–DC power converters

Babazadeh

Tschirhart

2018

IET Power Electronics

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Higher transistor density in modern processors leads to an increase in computing power, which results in higher power consumption. To combat this, system-level power saving features like dynamic voltage transitions (DVTs) are introduced where the voltage required by the processor is varied according to computational load. In commercially available systems, the slew rate of the voltage transition is limited, which has the negative effect of increasing computational latency to ensure safe operation of the switch mode power converter. This study addresses the limitations of the existing techniques by introducing an adaptive DVT, which enables finer granularity of the operating voltage levels and promotes greater power savings. The switching surface-based analysis is performed to derive the conditions for (near) optimal voltage transitions constrained by inductor saturation limits. The results of an experimental prototype achieving the fastest safe transition response are shown to correlate well with the analysis across a wide range of DVT conditions.

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Digital Implementation of Boundary Control with Second-order Switching Surface for Inverters

Cited by 14 publications

References 33 publications

Minimum-Time Transient Recovery for DC–DC Converters Using Raster Control Surfaces

Minimum-Time Transient Recovery for DC–DC Converters Using Raster Control Surfaces

Analysis and design of a highly efficient and versatile DC-DC converter

Adaptive dynamic voltage transitioning in switch mode DC–DC power converters

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