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The accuracy of the most commonly used integrated navigation system of inertial navigation system (INS) and global navigation satellite system (GNSS) is greatly influenced by the quality of satellite signals. Based on the most commonly used navigation system that is equipped with barometer and airspeedometer, a new navigation algorithm is proposed for fixed-wing unmanned aerial vehicles (UAVs) to...
This paper concerns about automatic flight control strategies for the running takeoff and landing of fixed-wing unmanned aerial vehicles (UAVs). Firstly, a dynamic model of fixed-wing UAVs is developed. Then the takeoff and landing control strategies are designed. The flight control strategies are designed to be segmented. A fixed-wing UAV named “Petrel” is used as an experimental platform. Finally,...
In this paper a Fuzzy Logic Control (FLC) will be developed to stabilize and control a fixed-wing unmanned aerial vehicle (UAV). The development, simulation and implementation of the control are the main objectives. The FLC must be able to direct the airplane towards different waypoints while at the same time maintaining the UAV stable.
In this paper, the development of a controller for autonomous lateral alignment of fixed-wing Unmanned Aerial Vehicles (UAVs) with runway centerline in landing phase is presented. Fuzzy Logic Control (FLC) is used in order to enable the vehicle to mimic the decision making procedure that a pilot follow in the same situation. Also, for longitudinal motion controller design for the UAV to follow a pre-defined...
This paper considers the question of using a nonlinear complementary filter for attitude estimation of fixed-wing unmanned aerial vehicle (UAV) given only measurements from a low-cost inertial measurement unit. A nonlinear complementary filter is proposed that combines accelerometer output for low frequency attitude estimation with integrated gyrometer output for high frequency estimation. The raw...
This paper describes the flight control and navigation system of a fixed-wing unmanned aerial vehicle with low cost sensors. Furthermore, an adaptive Kalman filter algorithm with radial basic function neural network is proposed to improve attitude information performance. Based on the unmanned aerial vehicle situation information and error information, system adjusts the weights of the sensor information...
This paper discusses a real-time method to calculate the three-dimensional location of a fixed target detected by a gimbaled camera in a fixed-wing experimental unmanned aerial vehicle (UAV) equipped with a single-antenna GPS receiver on board. The camera was operated by an algorithm that automatically tracked the detected target, and the location was obtained using triangulation. The algorithm, however,...
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