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Julian_Casey_Thesis_11_2020.pdf (1.77 MB)

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Abstract Header

Analytical approach to multi-objective joint inference control for fixed wing unmanned aerial vehicles

Casey, Julian L.
http://rave.ohiolink.edu/etdc/view?acc_num=wright160431245463856

Abstract Details

2020, Master of Science in Electrical Engineering (MSEE), Wright State University, Electrical Engineering.
Fixed-wing Unmanned Aerial Vehicles (UAVs) have been found highly useful in various environments, including military and law enforcement. With the increased use of fixed-wing UAVs, there becomes an increased need to optimize the resources available. One approach to resource management is to create multi-objective flights. This thesis presents the design, analysis, and experimental implementation of multi-objective resource management for the resource of Range, distance available to the UAV, from the viewpoint of Intelligence Surveillance and Reconnaissance (ISR). First, a Simulation Environment is created capable of tracking multiple fixed-wing UAVs and to allow for the UAVs’ being controlled by an externally driven algorithm. Second, an Inference algorithm is developed with the objective of information seeking. Several algorithms are developed and used in conjunction with a Sequential Analysis test to allow for calculating Target Value, calculating Target Confidence, and validating the calculated Target Value. Third, a Control algorithm is developed with the objective of Target seeking. The Control algorithm uses several approaches to path generation, including Dubins path, Optimized Order path, and Closest Target path. Finally, a supervisor algorithm termed Joint Inference and Control (JIC) joins Inference and Control together. Monte Carlo simulated test flight results are shown to illustrate the effectiveness of the developed algorithms.
Luther Palmer III, Ph.D. (Advisor)
Xiaodong Zhang, Ph.D. (Committee Member)
Pradeep Misra, Ph.D. (Committee Member)
Trevor J. Bihl, Ph.D. (Committee Member)
80 p.
Electrical Engineering
fixed wing unmanned aerial vehicles; unmanned aerial vehicles; UAVs; multi-objective flight

Recommended Citations

Citations

  • Casey, J. L. (2020). Analytical approach to multi-objective joint inference control for fixed wing unmanned aerial vehicles [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright160431245463856

    APA Style (7th edition)

  • Casey, Julian. Analytical approach to multi-objective joint inference control for fixed wing unmanned aerial vehicles. 2020. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright160431245463856.

    MLA Style (8th edition)

  • Casey, Julian. "Analytical approach to multi-objective joint inference control for fixed wing unmanned aerial vehicles." Master's thesis, Wright State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright160431245463856

    Chicago Manual of Style (17th edition)

wright160431245463856
1,492
© 2020, some rights reserved.Creative Commons License Analytical approach to multi-objective joint inference control for fixed wing unmanned aerial vehicles by Julian L. Casey is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Wright State University and OhioLINK.