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Development of a Supervisory Tool for Fault Detection and Diagnosis of DC Electric Power Systems with the Application of Deep Space Vehicles

Carbone, Marc A, Carbone
http://rave.ohiolink.edu/etdc/view?acc_num=case1601984256665471

Abstract Details

2021, Doctor of Philosophy, Case Western Reserve University, EECS - System and Control Engineering.
This dissertation formulates the problem of fault detection and diagnosis of DC electric power systems for the application of autonomous spacecraft. The ability to accurately identify and isolate failures in the electrical power system is critical to ensure the reliability of a spacecraft. This problem becomes more pronounced during deep space missions that lack the ability to monitor from ground control. The current state of electrical power system fault supervision is insufficient to guarantee highly reliable and robust operation. To solve this issue, a combination of model-based and rules-based techniques are used in a hierarchical framework to improve the diagnostic performance of the spacecraft electrical power system. Noise, disturbances, and modeling errors are considered in the design of the method. Practical considerations related to the hardware and software are discussed for the flight application. A wide array of failure types are simulated in a series of experiments to assess the functionality of the design. The experiments showed that the methods used improved the diagnostic capability of the autonomous system while taking into account the limitations attributed to flight software requirements. The significance of this study is to provide a framework capable of advanced diagnostics of an electrical power system with little to no interaction from a human operator.
Kenneth Loparo (Advisor)
Vira Chankong (Committee Member)
Kalmesh Mathur (Committee Member)
Farhad Kaffashi (Committee Member)
161 p.
Electrical Engineering; Energy
Spacecraft; Power System; Fault Detection and Diagnosis; Fault Supervision; State Estimation; Dynamics

Recommended Citations

Citations

  • Carbone, Carbone, M. A. (2021). Development of a Supervisory Tool for Fault Detection and Diagnosis of DC Electric Power Systems with the Application of Deep Space Vehicles [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1601984256665471

    APA Style (7th edition)

  • Carbone, Carbone, Marc. Development of a Supervisory Tool for Fault Detection and Diagnosis of DC Electric Power Systems with the Application of Deep Space Vehicles. 2021. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1601984256665471.

    MLA Style (8th edition)

  • Carbone, Carbone, Marc. "Development of a Supervisory Tool for Fault Detection and Diagnosis of DC Electric Power Systems with the Application of Deep Space Vehicles." Doctoral dissertation, Case Western Reserve University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1601984256665471

    Chicago Manual of Style (17th edition)

case1601984256665471
447
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This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.