Friedrich, Jacob
(2018)
Design of State Plane Trajectory Control for a Soft Switching AC-Link DC-DC Converter.
Master's Thesis, University of Pittsburgh.
(Unpublished)
This is the latest version of this item.
Abstract
The objective of this work is to present the controller operation and mathematical analysis of the AC-link dc-dc converter, a parallel resonant converter, for which state plane trajectory control (SPTC) is proposed. The contribution is an autonomous control technique achieving the benefits of bidirectional power flow, soft switching, and converter switching at its natural resonant frequency as opposed to conventional forced control operations. The switching sequence is implemented using an autonomous state machine triggered by the voltage and current state variables of the resonant LC tank, transitioning between modes of operation strategically to achieve said benefits. By using state plane analysis techniques, the dynamics of the resonant tank can be seen visually, and the trajectories can serve as information to control the converter. All results were simulated in MATLAB/Simulink utilizing the PLECS blockset. In addition, an electrical characteristic study was performed in ANSYS Simplorer on the electrical components to measure the efficiency and thermal response of the semiconductor devices.
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Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
|
ETD Committee: |
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Date: |
20 September 2018 |
Date Type: |
Publication |
Defense Date: |
29 May 2018 |
Approval Date: |
20 September 2018 |
Submission Date: |
30 April 2018 |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Number of Pages: |
67 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
Swanson School of Engineering > Electrical Engineering |
Degree: |
MS - Master of Science |
Thesis Type: |
Master's Thesis |
Refereed: |
Yes |
Uncontrolled Keywords: |
AC-Link, Bidirectional, DC-DC Converter, Parallel Resonant Conversion, Soft Switching, State Plane Analysis, State Plane Trajectory Control |
Date Deposited: |
20 Sep 2018 19:02 |
Last Modified: |
20 Sep 2018 19:02 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/34541 |
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