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Emre Yilmaz
(Advisor: Prof. Brian J. German]
will propose a doctoral thesis entitled,
A Hybrid Automaton Based Path Planning
of Over-Actuated eVTOL Aircraft
On
Friday, April 16 at 2:00 p.m. (EDT)
BlueJeans: https://bluejeans.com/719168640
Abstract:
The objective of this dissertation is to explore nominal and off-nominal flight planning for eVTOL vehicles with over-actuated flight controls based on the concept of a maneuver automaton. The maneuver automaton (MA), which is a finite state machine composed of feasible trim and maneuver primitives, provides safe transitions between modes. An MA-based formulation of the high-level mission optimization problem is leveraged because it helps to reduce the problem dimensionality and the computational complexity. The redundancy in actuators of many eVTOL vehicles, e.g., distributed propulsion rotors and multiple control surfaces, results in many options to produce the same set of required force and moment demands in the body reference frame. For this reason, we investigate and solve control allocation (CA) problems as a component of the broader path planning problem.
Committee