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Energy Management Techniques for Hybrid Electric Unmanned Aircraft Systems

Kreinar, David J
http://orcid.org/0000-0001-7160-0992
http://rave.ohiolink.edu/etdc/view?acc_num=dayton159640308960136

Abstract Details

2020, Master of Science in Electrical Engineering, University of Dayton, Electrical Engineering.
Recently, Unmanned Aircraft Systems (UAS) have been using a Hybrid Electric (HE) approach for propelling the UAS and running its avionics. The HE approach can allow the UAS to become more fuel efficient by using the battery power to supplement the generator in times where the required power changes quickly. However, the supervisory controllers for the UAS’s typically do not take full advantage of the possibilities brought along by the inclusion of batteries. A baseline control method is described that uses simple PI and rule based control, then multiple new control strategies are investigated to determine the ideal ratio of battery and generator power at every moment. An adaptive power split controller using extremum seeking control for the optimization is used for instantaneous causal control of the generator. This method is able to improve upon the baseline and reduce the fuel usage by about ten percent. By allowing knowledge of the mission a prior, a simplified model can be used to implement dynamic programming, with the objective of reducing fuel usage throughout the mission. In our simulations, we find that it is possible to achieve more than fifteen percent decrease in fuel usage. By using Extremum seeking control to adjust the internal combustion engine’s speed directly, the dynamic programming method is further improved through the addition of robustness to errors in the engine efficiency models.
Raul Ordonez, Ph.D. (Advisor)
Malcolm Daniels, Ph.D. (Committee Member)
Dong Cao, Ph.D. (Committee Member)
39 p.
Electrical Engineering
Unmanned Aircraft Systems; Dynamic Programming; Extremum Seeking Control; Power Optimization

Recommended Citations

Citations

  • Kreinar, D. J. (2020). Energy Management Techniques for Hybrid Electric Unmanned Aircraft Systems [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton159640308960136

    APA Style (7th edition)

  • Kreinar, David. Energy Management Techniques for Hybrid Electric Unmanned Aircraft Systems. 2020. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton159640308960136.

    MLA Style (8th edition)

  • Kreinar, David. "Energy Management Techniques for Hybrid Electric Unmanned Aircraft Systems." Master's thesis, University of Dayton, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton159640308960136

    Chicago Manual of Style (17th edition)

dayton159640308960136
307
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This open access ETD is published by University of Dayton and OhioLINK.