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Granger Final Dissertation.pdf (2.04 MB)

ETD Abstract Container

Abstract Header

A Combined Framework for Control and Fault Monitoring of a DC Microgrid for Deep Space Applications

Granger, Matthew G
http://rave.ohiolink.edu/etdc/view?acc_num=case1607694725020458

Abstract Details

2021, Doctor of Philosophy, Case Western Reserve University, EECS - Electrical Engineering.
A combined high-frequency fault detection and control framework for an autonomous DC microgrid is developed in this work. The dynamics and constraints of the power system are conveniently represented in a system which automatically produces gains that stabilize the system and minimize a performance functional that includes both state and actuator costs. This technique is applied to the low-frequency dynamics of the secondary controller and to the high-frequency dynamics of the DC-DC converters. The automatic gain scheduling is further investigated to determine its ability to support a system where there is insufficient frequency separation between the high-frequency (fast) and low-frequency (slow) subsystems. In addition to the controls work, high-frequency sampling of power system transients is studied for fault identification. Machine learning techniques are used to detect and identify abnormal operating conditions. Coordination between the fault detection and control systems is studied, and it is shown that the system is capable of responding to fault events and re-stabilize the system with new gains, both in the slow and fast subsystems. The system is also shown to be capable of detecting transients indicating deteriorating stability margins, and in this case new gains are automatically produced to restore the desired stability margins.
Kenneth Loparo (Advisor)
Vira Chankong (Committee Member)
Hanieh Agharazi (Committee Member)
Robert Gao (Committee Member)
81 p.
Electrical Engineering
control; fault management; fault identification; spacecraft; space; autonomous; transient

Recommended Citations

Citations

  • Granger, M. G. (2021). A Combined Framework for Control and Fault Monitoring of a DC Microgrid for Deep Space Applications [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1607694725020458

    APA Style (7th edition)

  • Granger, Matthew. A Combined Framework for Control and Fault Monitoring of a DC Microgrid for Deep Space Applications. 2021. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1607694725020458.

    MLA Style (8th edition)

  • Granger, Matthew. "A Combined Framework for Control and Fault Monitoring of a DC Microgrid for Deep Space Applications." Doctoral dissertation, Case Western Reserve University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1607694725020458

    Chicago Manual of Style (17th edition)

case1607694725020458
399
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This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.