Publication: Stability Analysis of Model Predictive Controller (MPC) for Single Ended Primary Inductance Converter (SEPIC)
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Date
2020-09
Authors
Nur Syakira Wahida binti Shahrin
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Abstract
An LED driver is the most crucial component of an LED light. It converts power from
AC to DC to drive the LED voltage converter because LEDs run on DC power. It also
manages the amount of power that is flowed through the LED lighting system. For this
project, the DC-DC converter that is used in the 18 W LED driver to facilitate the
dimming function for the LED is Single-Ended Primary Inductance Converter (SEPIC).
Dimming is often required for LEDs for energy saving and to create different light
illuminations that are suitable for every group of users. In order to achieve the dimming
function for indoor low lighting application, a converter control technique is necessary.
The research presents a feedback closed loop control which is called Model Predictive
Control (MPC) to be implemented with the LED driver. The feedback loop provided by
the controller should be able to apply the optimal duty cycle to achieve the dimming
function. This project is aimed to explore the advantage of using Model Predictive
Control as well as to observe the time dynamic performance and stability of the
converter. The simulation results have been obtained by using MATLAB/Simulink. The
results include the time dynamic response of the proposed control method and stability
analysis of the converter
Description
Interim Semester 2020/2021
Keywords
Single-Ended Pimary Inductance Converter , Model Predictine Control