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Stephen Haviland
(Co-Advisors: Prof. Eric Johnson & Prof. JVR Prasad]
will propose a doctoral thesis entitled,
Multirotor configuration-based performance analysis
On
Tuesday, December 4 at 1:00 p.m.
Caddell Building Room 212
College of Design
Abstract
Multirotor aircraft have become a workhorse configuration for hobby, research groups, and now large corporations to use for a variety of applications. The scales of these aircraft range from smaller than a person’s hand to large aircraft capable of carrying multiple people, and the tasks required for the vehicles to manage has also become more demanding. These aircraft complete inspection work in tight spaces, perform rapid slung load pick-ups and drop-offs, swarm operations, and many others. However, many of these tasks are completed without rigorous effort spent in the vehicle design phase, which affects both mission and task-level performance. The design and optimization methods used currently for multirotor aircraft are based on helicopter design procedures and heuristics. Many of these do not properly handle stability and control in the early design phases properly and the rules of thumb used in helicopter design often are not applicable, especially with new multirotor configurations like direct force control (DFC) vehicles and heterogonous rotor (heterotor) configurations. The work proposed addresses the shortcomings of the current design methods as they apply to multirotor design.
Committee
• Prof. Eric Johnson - School of Aerospace Engineering (PSU) (co-advisor)
• Prof. JVR Prasad – School of Aerospace Engineering (co-advisor)
• Prof. Brian German – School of Aerospace Engineering
• Prof. Javier Irizarry – School of Building Construction
• Kaydon Stanzione – Praxis Technologies, Inc.
