A State-Trajectory Control Law for DC-to-DC Converters

Burns, William W.; Wilson, Thomas G.

doi:10.1109/taes.1978.308572

Cited by 36 publications

(14 citation statements)

References 2 publications

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“…Next, the paper focuses on aspects of control implementation. Advances in digital processor technology have enabled controllers to store and evaluate more accurate open-form control surfaces, in line with what was originally proposed by LaSalle in 1959 [17], [18], and generalizes the surfaces proposed by Burns and Wilson [7]- [9] in 1976. These curved surfaces, infeasible with operation amplifiers and slow to calculate in real time, need no real-time arithmetic operations when they are stored as lookup tables.…”

Section: Review: Minimum-time Disturbance Recoverysupporting

confidence: 56%

“…(3) over every switch period t, and switch-edge index k, simulates voltage-and current-state trajectories [7], and is the foundation for trajectory-based control [8], [9]. When the switched system satisfies certain switching/parameter criteria, averaging can approximate state trajectories [10], [11].…”

Section: Review: Switching and Averaged Converter Modelsmentioning

confidence: 99%

“…The idea that power electronics state trajectories could form minimum-time surfaces was first proposed as an analytical tool [7]. Here, authors assume constant-current output to create a closed-form switching surface for boost converters [9]. They also present the common steps for finding these surfaces.…”

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 Recoverysupporting

confidence: 56%

Section: Review: Switching and Averaged Converter Modelsmentioning

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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“…Power conversion using an energy storage capacitor provides advantages such as small volume, low loss and excellent electromagnetic compatibility. Series resonant converters (SRCs) [10] have the characteristics of zero-current soft-switching and can generate the high-frequency current pulse sequences using the energy storage capacitor. Fig.…”

Section: Circuit Topology and Transformation Mechanism Of Ct-zcsmentioning

confidence: 99%

Analysis and Design of a New Topology of Soft-Switching Inverters

Chen¹,

Zhang²

2013

Journal of Power Electronics

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This paper proposes the power conversion mechanism of a bailer-charge-transfer zero-current-switching (CT-ZCS) circuit. The operation modes are analyzed and researched using state trajectory equations. The topology of CT-ZCS based on soft-switching inverters offers some merits such as: tracking the input reference signal dynamically, bearing load shock and short circuit, multiplying inverter N+1 redundancy parallel, coordinating power balance for easy control, and soft-switching commutation for high efficiency and large capacity. These advantages are distinctive from conventional inverter topologies and are especially demanded in AC drives: new energy generation and grid, distributed generation systems, switching power amplifier, active power filter, and reactive power compensation and so on. Prototype is manufactured and experiment results show the feasibility and dynamic voltage-tracking characteristics of the topology.

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“…It has been shown that a new operating point can be reached in minimum time with one set of switch actions [8]- [10]. For the load step-up depicted in Fig.…”

Section: Power Supply Controlmentioning

confidence: 99%

Power supply aware computing

Shenoy

Krein

2010

2010 International Conference on Energy Aware Computing

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This paper discusses the performance benefits and energy efficiency improvements from microprocessors that communicate with their power supply. The power supply's response to computing load changes can be vastly improved with information about expected transients. Supply voltages can be modified to decrease steady-state power losses. A microprocessor can also adjust its computational activity based on information provided by the power supply. Additional benefits such as cost reduction, size reduction, and improved reliability are expected. Experimental results demonstrate the benefits.

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A State-Trajectory Control Law for DC-to-DC Converters

Cited by 36 publications

References 2 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 New Topology of Soft-Switching Inverters

Power supply aware computing

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