The breakthrough progress in the semiconductor technology has enabled a wide-scale deployment of the power electronic converters. To efficiently control and deploy these converters, it is essential to develop mathematical models which can describe their dynamic and static behavior. Most of the existing models require the knowledge of the system parameters (e.g., inductances, capacitances). Further, such models do not account for stray variances in the system parameters due to external factors, e.g., temperature variations. To overcome these issues, this project aims to employ non-linear system identification techniques for this purpose. In particular the following are the main objectives of this project:
Objectives:
· Design and implement dc-dc converters
· Develop an experimental setup to acquire data from dc-dc converters
· Identify a non-linear model to describe the converter dynamics
Undergraduate
Pre-requisites:
· Basic Understanding of Power Electronics & Control System
· Good programming skills in MATLAB
Lab allocations have not been finalised