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Success of a cooperative mission entirely depends on precise navigation information of each UAV. Though present day UAVs are equipped with GPS, the UAVs have to rely only on navigation information obtained from inertial navigation system while operating in GPS denied environments. This research work, addresses the problem of establishing a GPS protected wireless MAV network (WIMAN) using three classes...
In recent years, the availability of low-cost and autonomous unmanned aerial vehicles (UAVs) results in the use of them for different types of military and commercial applications. The crucial part of the autonomous UAVs is their online or offline path planning algorithms. In the literature, there are many types of solutions, which use evolutionary and/or swarm intelligence approaches. Ant colony...
This paper proposes a bidirectional spline-RRT∗ path planning algorithm for fixed-wing unmanned aerial vehicles (UAVs). The proposed algorithm combines the basic RRT∗ algorithm with the spline method to produce smooth paths, which are essential for fixed-wing UAVs. The proposed bidirectional spline-RRT∗ algorithm generates paths satisfying approach direction constraints on both start and goal points,...
Two missile guidance laws viz. Pursuit Guidance (PG) and Trajectory Shaping (TS), have been adopted to aggressively follow curved, compact trajectories using a quadrotor. The concept of virtual target navigation has been utilized to generate the required curved trajectories. Simulations and flight tests have been performed using a quadrotor and the performance characteristics obtained have been compared...
This paper concerns a distributed control approach of a fleet of Unmanned Aerial Vehicles (UAVs) based on a Leaderless strategy. The independent distributed particle swarm Optimization algorithms are used to develop this approach. The goal is to get a set of UAVs to fly on a 2D plane while converging to a predefined spatial configuration around a rendezvous point. The developed method would be applied...
While collision avoidance and flight stability are generally a micro air vehicle's (MAVs) highest priority, many map-based path planning algorithms focus on path optimality, often assuming a static, known environment. For many MAV applications a robust navigation solution requires responding quickly to obstacles in dynamic, tight environments with non-negligible disturbances. This article first outlines...
This paper addresses the problem of enabling Unmanned Aircraft Systems (UAS) to avoid mid-air collisions during path planning applications. We propose an improved strategy that allows the UAS to negotiate obstacles encountered during flight, while keeping the objective of finding a feasible path towards its destination. Our method computes multiple steps along the UAS's path based on GPS coordinates,...
A simple strategy to saturate the reference velocities when guiding an Unmanned Aerial Vehicle (UAV) to accomplish trajectory-tracking tasks is proposed. Such a controller has two parts: a kinematic controller to generate reference velocities for the vehicle and a state-variables change with a PD controller to guarantee the tracking of such velocities. This characterizes a cascade controller and guarantees...
This paper presents linear system identification results using noisy data from a six-degree-of-freedom aircraft simulation and data obtained from flight test of an Unmanned Aerial System using the recently developed novel Artificial Neural Network System Identification algorithm. The method uses an artificial neural network with a single input layer and single output layer to learn the elements of...
A dynamic and decentralized assignment algorithm based on one-to-one coordination is proposed to solve the multi-target allocation problem under communication constraints. The objective is to assign the intruders dynamically among the available aerial robots in order to keep as many intruders as possible under tracking. When an aerial robot is not tracking a target, it is patrolling the area in order...
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