Name: Optimal Wind Corrected Flight Path Planning for Autonomous Micro Air Vehicles (en Inglés)
Price: 77340.00 CLP
Availability: InStock
Author: Zollars, Michael D.
ISBN: 9781288307890

portada Optimal Wind Corrected Flight Path Planning for Autonomous Micro Air Vehicles (en Inglés)

Formato

Libro Físico

Autor

Michael D. Zollars

Editorial

Biblioscholar

Idioma

Inglés

N° páginas

122

Encuadernación

Tapa Blanda

Dimensiones

24.6 x 18.9 x 0.7 cm

Peso

0.23 kg.

ISBN13

9781288307890

Categorías

Educación

Optimal Wind Corrected Flight Path Planning for Autonomous Micro Air Vehicles (en Inglés)

Michael D. Zollars (Autor) · Biblioscholar · Tapa Blanda

Libro Nuevo

$ 77.340

$ 128.900

Ahorras: $ 51.560

40% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Miércoles 07 de Agosto y el Miércoles 14 de Agosto.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Optimal Wind Corrected Flight Path Planning for Autonomous Micro Air Vehicles (en Inglés)"

This research effort focuses on determining the optimal flight path required to put a micro air vehicle's (MAVs) fixed sensor on a target in the presence of a constant wind. Autonomous flight is quickly becoming the future of air power and over the past several years, the size and weight of autonomous vehicles has decreased dramatically. As these vehicles were implemented into the field, it was quickly discovered that their flight paths are severely altered by wind. However, since the size of the vehicle does not allow for a gimbaled camera, only a slight perturbation to the attitude of the vehicle will cause the sensor footprint to be displaced dramatically. Therefore, the goal of this research was to use dynamic optimization techniques to determine the optimal flight path to place a MAV's sensor footprint on a target when operating in wind for three different scenarios. The first scenario considered the minimum time path given an initial position and heading and a final position and heading. The second scenario minimized the error between the MAV's ground track and a straight line to the target in order to force a desired path on the vehicle. The final scenario utilized both a forward mounted sensor as well as a side mounted sensor to optimize the time the target is continually in view of the sensor footprint. Each of these scenarios has been captured in simulated plots that depict varying wind angles, wind speeds, and initial and final heading angles. These optimal flight paths provide a benchmark that will validate the quality of future closed-loop wind compensation control systems.