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Dissertation/Thesis Abstract

Design, Development, and Validation of a High-Performance Tilt-Frame Unmanned Aerial System for Landing in Tree Orchards
by Anishchenko, Ilya, M.S., University of California, Davis, 2018, 184; 10749568
Abstract (Summary)

Huanglongbing (HLB) is an incurable bacterial disease that kills citrus trees and threatens to decimate California's $2.2 billion citrus industry. A solution for limiting the spread of HLB is to rapidly detect infected trees with a chemical sensor equipped Unmanned Aerial System (UAS), which lands within tree proximity and deploys an extendable boom for air-sample collection. The Agricultural UAS project is a multidisciplinary engineering effort to conduct chemical sample collection and analysis in remote locations, to study a tilt-frame UAS concept performance, and to test a novel Propeller Thrust Governing System (PTGS). Simulated flight metrics show that a tilt-frame UAS concept significantly increases endurance, range, cruising performance, and service envelope over a conventional multi-rotor UAS design. A UAS prototype has been built by integrating the following subsystems: tilt-frame aircraft design, PTGS, and an attitude control system. The PTGS is a novel subsystem designed for regulating thrust of a constant velocity, non-variable pitch propeller through the use of actuated aerodynamic surfaces (flaps) for vehicle attitude control. Experiments conducted on a custom-built force measuring platform show that a standard/inverted flap combination produces a high force-to-flap deflection angle ratio, preserves a linear response, and minimizes coupling between downwards/sideways forces. An attitude controller was designed using a cascade PID scheme with a Mahony filter for rapid attitude estimation. By modeling system dynamics and using airfoil theory, predicted dynamic response and simulated flight metrics are generated and then experimentally validated with a functional prototype vehicle. Collected flight data deviates from predicted performance by less than 5%.

Indexing (document details)
Advisor: Robinson, Stephen K.
Commitee: Davis, Cristina E., Kong, Zhaodan
School: University of California, Davis
Department: Mechanical and Aerospace Engineering
School Location: United States -- California
Source: MAI 57/06M(E), Masters Abstracts International
Subjects: Aerospace engineering, Mechanical engineering, Remote sensing
Keywords: Chemical, Flaps, Sensor, Tilt-frame, Uas
Publication Number: 10749568
ISBN: 978-0-355-96986-3
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