The goal of the research that was pursued during this PhD is to eventually facilitate the development of high-performance, fast-switching DC-DC converters. High-switching frequency in switching mode power supplies (SMPS) can be exploited by reducing the output voltage ripple for the same size of passives (mainly inductors and capacitors) and improve overall system performance by providing a voltage supply with less unwanted harmonics to the subsystems that they support. The opposite side of the trade-off is also attractive for designers as the same amount of ripple can be achieved with smaller values of inductance and/or capacitance which can result in a physically smaller and potentially cheaper end product. Another benefit is that the spectrum of the resulting switching noise is shifted to higher frequencies which in turn allows designers to push the corner frequency of the control loop of the system higher without the switching noise affecting the behavior of the system. This in turn, is translated to a system capable of responding faster to strong transients that are common in modern systems that may contain microprocessors or other electronics that tend to consume power in bursts and may even require the use of features like dynamic voltage scaling to minimize the overall consumption of the system. While the analysis of the open loop behavior of a DC-DC converter is relatively straightforward, it is of limited usefulness as they almost always operate in closed loop and therefore can suffer from degraded stability. Therefore, it is important to have a way to simulate their closed loop behavior in the most efficient manner possible. The first chapter is dedicated to a library of technology-agnostic high-level models that can be used to improve the efficiency of transient simulations without sacrificing the ability to model and localize the different losses. This work also focuses further in fixed-frequency converters that employ Peak Current Mode Control (PCM) schemes. PCM schemes are frequently used due to their simple implementation and their ability to respond quickly to line transients since any change of the battery voltage is reflected in the slope of the rising inductor current which in turn is monitored by a fast internal control loop that is closed with the help of a current sensor. Most existing models for current sensors assume that they behave in an ideal manner with infinite bandwidth and ideal constant gain. These assumptions tend to be in significant error as the minimum on-time of the sensor and therefore the settling time requirements of the sensor are reduced. Some sensing architectures, like the ones that approximate the inductor current with the high-side switch current, can be even more complex to analyze as they require the use of extended masking time to prevent spike currents caused by the switch commutation to be injected to the output of the sensor and therefore the signal processing blocks of the control loop. In order to solve this issue, this work also proposes a current sensor model that is compatible with time averaged models of DC-DC converters and is able to predict the effects of static and transient non-idealities of the block on the behavior of a PCM DC-DC converter. Lastly, this work proposes a new 40 V, 6 A, fully-integrated, high-side current sensing circuit with a response time of 51 . The proposed sensor is able to achieve this performance with the help of a feedback resistance emulation technique that prevents the sensor from debiasing during its masking phase which tends to extend the response time of similar fully integrated sensors.

Modeling and Design of High-Performance DC-DC Converters

KIZAS, THOMAS ELEFTHERIOS DIMITRIOS
2023-11-14

Abstract

The goal of the research that was pursued during this PhD is to eventually facilitate the development of high-performance, fast-switching DC-DC converters. High-switching frequency in switching mode power supplies (SMPS) can be exploited by reducing the output voltage ripple for the same size of passives (mainly inductors and capacitors) and improve overall system performance by providing a voltage supply with less unwanted harmonics to the subsystems that they support. The opposite side of the trade-off is also attractive for designers as the same amount of ripple can be achieved with smaller values of inductance and/or capacitance which can result in a physically smaller and potentially cheaper end product. Another benefit is that the spectrum of the resulting switching noise is shifted to higher frequencies which in turn allows designers to push the corner frequency of the control loop of the system higher without the switching noise affecting the behavior of the system. This in turn, is translated to a system capable of responding faster to strong transients that are common in modern systems that may contain microprocessors or other electronics that tend to consume power in bursts and may even require the use of features like dynamic voltage scaling to minimize the overall consumption of the system. While the analysis of the open loop behavior of a DC-DC converter is relatively straightforward, it is of limited usefulness as they almost always operate in closed loop and therefore can suffer from degraded stability. Therefore, it is important to have a way to simulate their closed loop behavior in the most efficient manner possible. The first chapter is dedicated to a library of technology-agnostic high-level models that can be used to improve the efficiency of transient simulations without sacrificing the ability to model and localize the different losses. This work also focuses further in fixed-frequency converters that employ Peak Current Mode Control (PCM) schemes. PCM schemes are frequently used due to their simple implementation and their ability to respond quickly to line transients since any change of the battery voltage is reflected in the slope of the rising inductor current which in turn is monitored by a fast internal control loop that is closed with the help of a current sensor. Most existing models for current sensors assume that they behave in an ideal manner with infinite bandwidth and ideal constant gain. These assumptions tend to be in significant error as the minimum on-time of the sensor and therefore the settling time requirements of the sensor are reduced. Some sensing architectures, like the ones that approximate the inductor current with the high-side switch current, can be even more complex to analyze as they require the use of extended masking time to prevent spike currents caused by the switch commutation to be injected to the output of the sensor and therefore the signal processing blocks of the control loop. In order to solve this issue, this work also proposes a current sensor model that is compatible with time averaged models of DC-DC converters and is able to predict the effects of static and transient non-idealities of the block on the behavior of a PCM DC-DC converter. Lastly, this work proposes a new 40 V, 6 A, fully-integrated, high-side current sensing circuit with a response time of 51 . The proposed sensor is able to achieve this performance with the help of a feedback resistance emulation technique that prevents the sensor from debiasing during its masking phase which tends to extend the response time of similar fully integrated sensors.
14-nov-2023
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Descrizione: Modeling and Design of High-Performance DC-DC Converters
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1485715
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