Date Available
10-1-2014
Year of Publication
2014
Document Type
Master's Thesis
Degree Name
Master of Science in Electrical Engineering (MSEE)
College
Engineering
Department/School/Program
Electrical and Computer Engineering
Advisor
Dr. Aaron M. Cramer
Abstract
Power converter has played a very important role in modern electric power systems. The control of power converters is necessary to achieve high performance. In this study, a dc-dc buck converter is studied. The parameters of a notional proportional-integral controller are to be selected. Genetic algorithms (GAs), which have been widely used to solve multi-objective optimization problems, is used in order to locate appropriate controller design. The control metrics are specified as phase margin in frequency domain and voltage error in time-domain. GAs presented the optimal tradeoffs between these two objectives. Three candidate control designs are studied in simulation and experimentally. There is some agreement between the experimental results and the simulation results, but there are also some discrepancies due to model error. Overall, the use of multi-domain, multi-objective-optimization-based approach has proven feasible.
Recommended Citation
Shang, Jing, "MULTI-DOMAIN, MULTI-OBJECTIVE-OPTIMIZATION-BASED APPROACH TO THE DESIGN OF CONTROLLERS FOR POWER ELECTRONICS" (2014). Theses and Dissertations--Electrical and Computer Engineering. 52.
https://uknowledge.uky.edu/ece_etds/52
