Andere Kunden interessierten sich auch für
![Robust and Adaptive Control Laws for a mini Quad Rotor UAV]( "Robust and Adaptive Control Laws for a mini Quad Rotor UAV")
Robust and Adaptive Control Laws for a mini Quad Rotor UAV46,99 €![1996 Charkhi Dadri mid-air collision]( "1996 Charkhi Dadri mid-air collision")
1996 Charkhi Dadri mid-air collision33,99 €![Cooperative Path Planning of Unmanned Aerial Vehicles]( "Cooperative Path Planning of Unmanned Aerial Vehicles")
Cooperative Path Planning of Unmanned Aerial Vehicles164,99 €![Path to Transformational Space Exploration, the (in 2 Volumes)]( "Path to Transformational Space Exploration, the (in 2 Volumes)")
Path to Transformational Space Exploration, the (in 2 Volumes)239,99 €![HMS Vanguard and Triomphant Submarine Collision]( "HMS Vanguard and Triomphant Submarine Collision")
HMS Vanguard and Triomphant Submarine Collision20,99 €![Optimal Guidance and Its Applications in Missiles and UAVs]( "Optimal Guidance and Its Applications in Missiles and UAVs")
Optimal Guidance and Its Applications in Missiles and UAVs116,99 €![New Technologies and Developments in Unmanned Systems]( "New Technologies and Developments in Unmanned Systems")
New Technologies and Developments in Unmanned Systems154,99 €
The book aims to present innovative algorithms to provide autonomous flight capability to a fixed-wing unmanned aircraft. Particularly it contributes to research on path optimization, trajectory tracking and collision avoidance with two algorithms designed respectively for path planning and aircraft guidance. These algorithms are combined to generate the shortest path from start to target avoiding known obstacles represented on a map and to drive the aircraft on the optimum path avoiding unpredicted objects sensed in flight. The path planning algorithm, named Kinematic A , is developed on the basis of graph search algorithms like A or Theta and is meant to generate feasible paths through a simple aircraft kinematic-model, evaluating moving cost between nodes of tridimensional graphs. The guidance algorithm on the other hand faces the concurring tasks of trajectory tracking and collision avoidance with Nonlinear Model Predictive Control. It exploits the optimal path provided with KA and a visual servoing control logics based on a spherical camera to steer the aircraft toward the desired path.