16 research outputs found
Primary-side sensing for a yback converter in both continuous and discontinuous conduction mode
Primary-side sensing is an observer-based approach to estimate the out-
put voltage of
yback converters from a primary winding (or an auxiliary winding).
Various observer-laws have been recently developed for
yback converters operating in
discontinuous conduction mode (DCM). The extension to continuous conduction mode
(CCM), however, has not been considered due to the diculties in compensating for the
voltage drop in the secondary winding. From the possibility to predict the winding volt-
age drop using the magnetizing current and the transformer model, this paper presents
a new observer method that can work accurately and smoothly in both CCM and DCM.
The methodology can be combined with any controller to provide either output voltage
regulation or output current regulation. The proposed sensing technique is veried by
simulation
Non-linear Dynamic Transformer Modelling and Optimum Control Design of Switched-mode Power Supplies
With recent advances in semiconductor manufacturing and computational technology, digital
control systems have grown to a relatively mature stage, and will soon become a viable replacement
for their analogue counterparts in the design of isolated and non-isolated DC-to-DC converters in
general, and
yback converters in particular. Inspired by this possibility, the thesis adopts the
first-ever digital control design in the field for wide-operating range
yback converters, based on a
low-cost microcontroller.
Accurate transformer modelling is a necessary exercise for the study of the
yback converters
as well as for model-based controller design. Therefore, a non-linear dynamic model, which allows
an accurate representation of both linear dynamics and non-linear core behaviour in a practical
transformer, is proposed. The parameters of the proposed transformer model are obtained using
time-domain system identification based on experimental data. In order to reduce the round-of
error typically occurring in the collected time-domain data, a method which is based on adjusting
the value of the current sensing resistor is also adopted.
To facilitate control design, a control-oriented model is developed based on the full converter
model through a simplification step. As demonstrated in the thesis, the control-oriented model is
able to preserve the bulk of the full converter model fidelity, critical for a control design step, while
at the same time requiring a significantly shorter execution time for simulation when compared
with the full converter model. For the purpose of implementing isolated-feedback control within a
low-cost microcontroller, a magnetic sensing principle, which can operates in both continuous and
discontinuous conduction modes of the
yback converter, is developed. The proposed sensing principle
is also based on the bias winding voltage of the
yback transformer to estimate the converter
output voltage; however, the sampling instant is chosen at the point where the secondary current
is known, instead of the knee point where the secondary current is zero. The implementation of
the proposed sensing technique, based on analogue circuitry and a microcontroller, is also studied.
Finally, optimum digital control for a wide-operating range
yback converter is developed and
implemented. The control architecture is purposely designed to perform a variety of tasks, including
efficiency optimisation, magnetic sensing, and valley switching operation, in addition to
the main task of regulating the output voltage. Three different methods for synthesizing optimum
compensators, based on mixed-sensitivity H1 robust control theory, gain-adaptive predictive functional
control (GAPFC) theory, and gain-adaptive quantitative feedback theory (GAQFT), are also
studied. In order to improve the performance of the robust controllers, parametric variations of
the
yback converter models are minimized before applying the robust control. Two possibilities
for reducing converter parametric model uncertainty, based on adapting the converter open-loop
gain and varying the sampling rate of the digital controller, are also demonstrated
Non-linear Dynamic Transformer Modelling and Optimum Control Design of Switched-mode Power Supplies
With recent advances in semiconductor manufacturing and computational technology, digital
control systems have grown to a relatively mature stage, and will soon become a viable replacement
for their analogue counterparts in the design of isolated and non-isolated DC-to-DC converters in
general, and
yback converters in particular. Inspired by this possibility, the thesis adopts the
first-ever digital control design in the field for wide-operating range
yback converters, based on a
low-cost microcontroller.
Accurate transformer modelling is a necessary exercise for the study of the
yback converters
as well as for model-based controller design. Therefore, a non-linear dynamic model, which allows
an accurate representation of both linear dynamics and non-linear core behaviour in a practical
transformer, is proposed. The parameters of the proposed transformer model are obtained using
time-domain system identification based on experimental data. In order to reduce the round-of
error typically occurring in the collected time-domain data, a method which is based on adjusting
the value of the current sensing resistor is also adopted.
To facilitate control design, a control-oriented model is developed based on the full converter
model through a simplification step. As demonstrated in the thesis, the control-oriented model is
able to preserve the bulk of the full converter model fidelity, critical for a control design step, while
at the same time requiring a significantly shorter execution time for simulation when compared
with the full converter model. For the purpose of implementing isolated-feedback control within a
low-cost microcontroller, a magnetic sensing principle, which can operates in both continuous and
discontinuous conduction modes of the
yback converter, is developed. The proposed sensing principle
is also based on the bias winding voltage of the
yback transformer to estimate the converter
output voltage; however, the sampling instant is chosen at the point where the secondary current
is known, instead of the knee point where the secondary current is zero. The implementation of
the proposed sensing technique, based on analogue circuitry and a microcontroller, is also studied.
Finally, optimum digital control for a wide-operating range
yback converter is developed and
implemented. The control architecture is purposely designed to perform a variety of tasks, including
efficiency optimisation, magnetic sensing, and valley switching operation, in addition to
the main task of regulating the output voltage. Three different methods for synthesizing optimum
compensators, based on mixed-sensitivity H1 robust control theory, gain-adaptive predictive functional
control (GAPFC) theory, and gain-adaptive quantitative feedback theory (GAQFT), are also
studied. In order to improve the performance of the robust controllers, parametric variations of
the
yback converter models are minimized before applying the robust control. Two possibilities
for reducing converter parametric model uncertainty, based on adapting the converter open-loop
gain and varying the sampling rate of the digital controller, are also demonstrated
Non-linear Dynamic Transformer Modelling and Optimum Control Design of Switched-mode Power Supplies
With recent advances in semiconductor manufacturing and computational technology, digital
control systems have grown to a relatively mature stage, and will soon become a viable replacement
for their analogue counterparts in the design of isolated and non-isolated DC-to-DC converters in
general, and
yback converters in particular. Inspired by this possibility, the thesis adopts the
first-ever digital control design in the field for wide-operating range
yback converters, based on a
low-cost microcontroller.
Accurate transformer modelling is a necessary exercise for the study of the
yback converters
as well as for model-based controller design. Therefore, a non-linear dynamic model, which allows
an accurate representation of both linear dynamics and non-linear core behaviour in a practical
transformer, is proposed. The parameters of the proposed transformer model are obtained using
time-domain system identification based on experimental data. In order to reduce the round-of
error typically occurring in the collected time-domain data, a method which is based on adjusting
the value of the current sensing resistor is also adopted.
To facilitate control design, a control-oriented model is developed based on the full converter
model through a simplification step. As demonstrated in the thesis, the control-oriented model is
able to preserve the bulk of the full converter model fidelity, critical for a control design step, while
at the same time requiring a significantly shorter execution time for simulation when compared
with the full converter model. For the purpose of implementing isolated-feedback control within a
low-cost microcontroller, a magnetic sensing principle, which can operates in both continuous and
discontinuous conduction modes of the
yback converter, is developed. The proposed sensing principle
is also based on the bias winding voltage of the
yback transformer to estimate the converter
output voltage; however, the sampling instant is chosen at the point where the secondary current
is known, instead of the knee point where the secondary current is zero. The implementation of
the proposed sensing technique, based on analogue circuitry and a microcontroller, is also studied.
Finally, optimum digital control for a wide-operating range
yback converter is developed and
implemented. The control architecture is purposely designed to perform a variety of tasks, including
efficiency optimisation, magnetic sensing, and valley switching operation, in addition to
the main task of regulating the output voltage. Three different methods for synthesizing optimum
compensators, based on mixed-sensitivity H1 robust control theory, gain-adaptive predictive functional
control (GAPFC) theory, and gain-adaptive quantitative feedback theory (GAQFT), are also
studied. In order to improve the performance of the robust controllers, parametric variations of
the
yback converter models are minimized before applying the robust control. Two possibilities
for reducing converter parametric model uncertainty, based on adapting the converter open-loop
gain and varying the sampling rate of the digital controller, are also demonstrated
Primary-side sensing for a yback converter in both continuous and discontinuous conduction mode
Primary-side sensing is an observer-based approach to estimate the out-
put voltage of
yback converters from a primary winding (or an auxiliary winding).
Various observer-laws have been recently developed for
yback converters operating in
discontinuous conduction mode (DCM). The extension to continuous conduction mode
(CCM), however, has not been considered due to the diculties in compensating for the
voltage drop in the secondary winding. From the possibility to predict the winding volt-
age drop using the magnetizing current and the transformer model, this paper presents
a new observer method that can work accurately and smoothly in both CCM and DCM.
The methodology can be combined with any controller to provide either output voltage
regulation or output current regulation. The proposed sensing technique is veried by
simulation
Primary-side sensing for a yback converter in both continuous and discontinuous conduction mode
Primary-side sensing is an observer-based approach to estimate the out-
put voltage of
yback converters from a primary winding (or an auxiliary winding).
Various observer-laws have been recently developed for
yback converters operating in
discontinuous conduction mode (DCM). The extension to continuous conduction mode
(CCM), however, has not been considered due to the diculties in compensating for the
voltage drop in the secondary winding. From the possibility to predict the winding volt-
age drop using the magnetizing current and the transformer model, this paper presents
a new observer method that can work accurately and smoothly in both CCM and DCM.
The methodology can be combined with any controller to provide either output voltage
regulation or output current regulation. The proposed sensing technique is veried by
simulation
Primary-side sensing for a yback converter in both continuous and discontinuous conduction mode
Primary-side sensing is an observer-based approach to estimate the out-
put voltage of
yback converters from a primary winding (or an auxiliary winding).
Various observer-laws have been recently developed for
yback converters operating in
discontinuous conduction mode (DCM). The extension to continuous conduction mode
(CCM), however, has not been considered due to the diculties in compensating for the
voltage drop in the secondary winding. From the possibility to predict the winding volt-
age drop using the magnetizing current and the transformer model, this paper presents
a new observer method that can work accurately and smoothly in both CCM and DCM.
The methodology can be combined with any controller to provide either output voltage
regulation or output current regulation. The proposed sensing technique is veried by
simulation
Projected Evolution of Drought Characteristics in Vietnam based on CORDEX-SEA Downscaled CMIP5 Data
In this study, the projected drought characteristics over Vietnam for the future periods of the middle (2046–2065) and end of the 21st century (2080–2099) were investigated under the Representative Concentration Pathway (RCP) scenarios RCP4.5 and RCP8.5. The drought characteristics (duration, severity, intensity, inter-arrival time, and geographic extent) were estimated based on the Palmer Drought Severity Index (PDSI). The PDSI was calculated using temperature and precipitation data from six regional climate downscaling experiments and their ensemble conducted by the Coordinated Regional Climate Downscaling Experiment-Southeast Asia (CORDEX-SEA) project. Projected changes of drought characteristics in the future periods were determined with respect to those in the baseline period 1986–2005. Results show biases in the regional climate model (RCM) outputs, namely an underestimation of temperature and an overestimation of precipitation, which also affect the representation of drought characteristics by overestimating the PDSI. In terms of projections, substantial increases of drought duration, severity and intensity, and decreases in the inter-arrival time are found over the Red River Delta, northern parts of the North Central sub-region, parts of the Central Highlands and over southern Vietnam. The droughts are projected to be more widespread under scenario RCP8.5 than RCP4.5, especially in southern Vietnam. With the increasing likelihood of droughts in Vietnam as a result of climate change, sustainable water resources management should be taken into account for agriculture, natural ecosystems and social development