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Efficient DC-DC switch regulator : applied iterative learning and anti-windup control

Abstract

A system model of a small modern power regulator is developed and tested to analyze the possibility of increasing power efficiency. The model is constructed using MATLAB software, and its switch linear performance in the presence of periodic pulse loads is verified against that of the actual system. Two enhanced control techniques, Anti-Integral windup and Iterative Learning Control, are individually applied to the model and used to reduce the deviation of the systems high side voltage response level when under load. Finally, the combined implementation of the two methods is explored with results showing that a 12.5% increase in total power efficiency can be achieved along with a reduction in response settling time. Accuracy of the simulated system suggests that these improvements can be translated to the real system with the addition of the two enhanced control techniques tested. A typical DC-DC converter such as the one modeled after with 80-85% efficiency would benefit by increasing its efficiency up to the high 80-90% range. Here the improvement is from 80.4% efficiency to 92.9%

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