Unmanned Aerial Vehicle Trajectory Tracking Using Particle Filter

碩士 === 國立中興大學 === 電機工程學系所 === 97 === The objective of this thesis is to design algorithms for tracking the trajectory of UAV. A reference path is generated and recorded by flight simulator software, X-Plane, which provides the flight information to guide the UAV towards the target path. The flight m...

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Main Authors: Liang-Chuan Wang, 王亮權
Other Authors: 溫志煜
Format: Others
Language:en_US
Online Access:http://ndltd.ncl.edu.tw/handle/75567856987355207757
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spelling ndltd-TW-097NCHU54410272016-07-16T04:11:07Z http://ndltd.ncl.edu.tw/handle/75567856987355207757 Unmanned Aerial Vehicle Trajectory Tracking Using Particle Filter 粒子濾波器在無人飛行載具軌跡追蹤之研究 Liang-Chuan Wang 王亮權 碩士 國立中興大學 電機工程學系所 97 The objective of this thesis is to design algorithms for tracking the trajectory of UAV. A reference path is generated and recorded by flight simulator software, X-Plane, which provides the flight information to guide the UAV towards the target path. The flight motion is modeled with linear ordinary differential equations, considering both longitudinal and lateral motion. The stability derivatives and aerodynamic coefficients of dynamic equations are derived from flying situations and specifications of UAV and airfoil. Based on the flight dynamics, particle filter is applied to estimate the control inputs of dynamic equations. The proposed algorithm is verified through the simulation results for takeoff, level flight and landing, which demonstrate that the proposed scheme is feasible to make a UAV track a given flight trajectory. 溫志煜 學位論文 ; thesis 43 en_US
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language en_US
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sources NDLTD
description 碩士 === 國立中興大學 === 電機工程學系所 === 97 === The objective of this thesis is to design algorithms for tracking the trajectory of UAV. A reference path is generated and recorded by flight simulator software, X-Plane, which provides the flight information to guide the UAV towards the target path. The flight motion is modeled with linear ordinary differential equations, considering both longitudinal and lateral motion. The stability derivatives and aerodynamic coefficients of dynamic equations are derived from flying situations and specifications of UAV and airfoil. Based on the flight dynamics, particle filter is applied to estimate the control inputs of dynamic equations. The proposed algorithm is verified through the simulation results for takeoff, level flight and landing, which demonstrate that the proposed scheme is feasible to make a UAV track a given flight trajectory.
author2 溫志煜
author_facet 溫志煜
Liang-Chuan Wang
王亮權
author Liang-Chuan Wang
王亮權
spellingShingle Liang-Chuan Wang
王亮權
Unmanned Aerial Vehicle Trajectory Tracking Using Particle Filter
author_sort Liang-Chuan Wang
title Unmanned Aerial Vehicle Trajectory Tracking Using Particle Filter
title_short Unmanned Aerial Vehicle Trajectory Tracking Using Particle Filter
title_full Unmanned Aerial Vehicle Trajectory Tracking Using Particle Filter
title_fullStr Unmanned Aerial Vehicle Trajectory Tracking Using Particle Filter
title_full_unstemmed Unmanned Aerial Vehicle Trajectory Tracking Using Particle Filter
title_sort unmanned aerial vehicle trajectory tracking using particle filter
url http://ndltd.ncl.edu.tw/handle/75567856987355207757
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