Abstract
dc:description.abstractAn accurate soldier is a lethal soldier, lethal soldiers make an effective army, and an effective army is a deterrent to war. In this paper we aim to apply optimization methods to nonlinear trajectory models to make every soldier more lethal with their assigned weapon system (and hunters more humane with their rifles). We first discover a way to optimize the trajectory of the average soldier's bullet over a specific range in a way that can be immediately implemented with negligible impact to current infrastructure, equipment, practices, and procedures. Next, we develop the mathematics behind an aiming device which considers the angle at which a weapon is aimed and the angle at which the weapon is tilted, and automatically adjusts to produce the optimal bullet trajectory over a specified range. We design this device while minimizing power consumption, minimizing weight, and avoiding the use of additional sensors such as laser range finders. Finally, we model a similar device intended for civilian hunters and military snipers which guarantees minimized deviation at an estimated range.
Degree
thesis:*- Name thesis:degree_name
- Master
- Department dc:contributor.department
- Massachusetts Institute of Technology. Operations Research Center
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2021
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Kendall, Thomas P.
- Advisors dc:contributor.advisor
-
- Graves, Stephen
- Slocum, Alexander
- Kim, Louis
Rights
dc:rights- Statement dc:rights
-
- In Copyright - Educational Use Permitted
- Copyright retained by author(s)
- Licence dc:rights.uri
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/139472
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/139472