Sangam: A Confluence of Knowledge Streams

Quadrotor intercept trajectory planning and simulation

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dc.contributor Yun, Xiaoping
dc.contributor Romano, Marcello
dc.contributor Hutchins, Robert
dc.contributor Electrical and Computer Engineering (ECE)
dc.creator Allen, Robert L., III
dc.date Jun-17
dc.date 2017-08-14T16:48:44Z
dc.date 2017-08-14T16:48:44Z
dc.date 2017-06
dc.date.accessioned 2022-05-19T07:35:11Z
dc.date.available 2022-05-19T07:35:11Z
dc.identifier http://hdl.handle.net/10945/55627
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/100061
dc.description Quadrotor drones pose a safety hazard when operated in or near controlled airspace. A hazardous quadrotor could be intercepted and removed by another quadrotor. In this thesis, we seek to determine if optimal control methods outperform missile control methods when applied to a quadrotor drone performing an intercept with a moving target. This is achieved by simulating the intercept of a target with a quadrotor and comparing the performance of several on-line trajectory planners. Two missile control-based trajectory planners, pursuit guidance and proportional navigation, are compared against an optimal control trajectory planner. The time and energy used by a simulated quadrotor to intercept a target are the performance measures used for comparison. The trajectory planners use a three-degree of freedom model, and the simulated quadrotor uses a six-degree of freedom model. Each trajectory planner is compared in a crossing, head-on, and tail-chase geometry. All of the on-line results are compared to an off-line optimal solution. The results show that the off-line optimal control method performs better than the on-line trajectory planners, regardless of intercept geometry type. The proportional navigation planner has the best performance of the on-line trajectory planners.
dc.description http://archive.org/details/quadrotorinterce1094555627
dc.description Lieutenant, United States Navy
dc.description Approved for public release; distribution is unlimited.
dc.format application/pdf
dc.publisher Monterey, California: Naval Postgraduate School
dc.rights This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
dc.subject quadrotor drone
dc.subject micro interceptor
dc.subject trajectory planner
dc.subject optimal control
dc.subject missile guidance law
dc.subject intercept trajectory
dc.subject optimal trajectory
dc.title Quadrotor intercept trajectory planning and simulation
dc.type Thesis


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