Condition-Based Maintenance Algorithms for Power Converters using Wide-bandgap Devices
Abstract
The objective of this project is to create condition-based maintenance algorithms and strategies for power electronic building blocks (PEBBs) comprising wide-bandgap devices. These PEBBs will be used in motor drives. We will design modular, wide-bandgap (WBG) device-based converters for motor drives. Conventional approaches to achieving better overall system design have typically relied on moving along two separate trade-off boundaries of size, weight, cost, efficiency, and reliabilityone for the motor and the other for the power-electronic-based variable speed drive (VSD). Our approach will investigate a functionally integrated motor-power-electronic converter to achieve system level benefits. Control architecture will be developed to operate these modular converters for a givenrequirement of torque and speed. Using advanced sensing technology, designed and developed by the United States Naval Academy (USNA), voltage and currents in these modular converter will be monitored. Condition-based maintenance algorithms will take in this measured data and will warn impending failures of the converters. A hardware platform will be developed as a proof-of-concept. This research will lay the foundation for further investigation of fault-tolerant WBG-based converters and drives for shipboard electrical motors.*Approved for Public Release*
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 06, 2021
- Source ID
- N000142112277
Entities
People
- Arijit Banerjee
Organizations
- Office of Naval Research
- United States Navy
- University of Illinois Urbana–Champaign