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TITLE AND SUBTITLE:
Verification of Space Station Secondary Power System Stability Using Design of Experiment
AUTHOR(S):
Karimi, Kamiar, J.; Booker, Andrew, J.; Mong, Alvin, C.; Manners, Bruce
REPORT DATE:
1998-01-01
FUNDING NUMBERS:
WU-478-29-10-00
PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES):
National Aeronautics and Space Administration Lewis Research Center Cleveland, Ohio 44135-3191
PERFORMING ORGANIZATION REPORT NUMBER:
E-11020
SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES):
National Aeronautics and Space Administration Washington, DC 20546-0001
REPORT TYPE AND DATES COVERED:
Technical Memorandum
SPONSORING/MONITORING AGENCY REPORT NUMBER:
NASA/TM-1998-206531
SUPPLEMENTARY NOTES:
Prepared for the 32nd Intersociety Energy Conversion Engineering Conference cosponsored by AIChE, ANS, SAE, AIAA, ASME, and IEEE, Honolulu, Hawaii, July 27-August 1, 1997. Kamiar J. Karimi, Andrew J. Booker, and Alvin C. Mong, Boeing Information and Support Services, MS 7L-25, Seattle, Washington 98124; Bruce Manners, NASA Lewis Research Center. Responsible person, Bruce Manners, organization code 6920, (216) 433-8341.
ABSTRACT:
This paper describes analytical methods used in verification of large DC power systems with applications to the International Space Station (ISS). Large DC power systems contain many switching power converters with negative resistor characteristics. The ISS power system presents numerous challenges with respect to system stability such as complex sources and undefined loads. The Space Station program has developed impedance specifications for sources and loads. The overall approach to system stability consists of specific hardware requirements coupled with extensive system analysis and testing. Testing of large complex distributed power systems is not practical due to size and complexity of the system. Computer modeling has been extensively used to develop hardware specifications as well as to identify system configurations for lab testing. The statistical method of Design of Experiments (DoE) is used as an analysis tool for verification of these large systems. DoE reduces the number of computer runs which are necessary to analyze the performance of a complex power system consisting of hundreds of DC/DC converters. DoE also provides valuable information about the effect of changes in system parameters on the performance of the system. DoE provides information about various operating scenarios and identification of the ones with potential for instability. In this paper we will describe how we have used computer modeling to analyze a large DC power system. A brief description of DoE is given. Examples using applications of DoE to analysis and verification of the ISS power system are provided.
SUBJECT TERMS:
Stability; Analysis; Design of Experiments; Space Station
NUMBER OF PAGES:
12
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