In the past five years, Ascendant Engineering Solutions has engaged in designing, analyzing and building several small- gimbal systems to meet these challenges and has undertaken a number of trade studies to investigate techniques to achieve optimal performance within the inherent limitations mentioned above. The limited size and weight of these gimbaled devices result in design challenges unique to the small- gimbal design field. Until now, these markets have been served by traditional/larger gimbals however, the latest class of small UAVs demands much smaller gimbals while maintaining high-performance. Many of these require sensors/payloads such as cameras, laser pointers/ illuminators/rangefinders and other systems that must be pointed and/or stabilized and therefore require a precision miniature gimbal or other means to control their line-of-sight (LOS).
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Originally, these applications were predominately military in nature but now include law enforcement/security, environmental monitoring/remote sensing, agricultural surveying, movie making and others. The proliferation of small Unmanned Air Vehicles (UAVs) in the past decade has been driven, in part, by the diverse applications that various industries have found for these platforms. Gimbal system configurations and line-of-sight control techniques for small UAV applications National Aeronautics and Space Administration — The Gimbal-stabilized Compact Hyperspectral Imaging System (GCHIS) fully integrates multi-sensor spectral imaging, stereovision, GPS and inertial measurement. Results show that the hardware/software approach is efficient, reliable and cheap for direct photogrammetry, as well as for general purpose applications using mobile vehicles.Ī Gimbal-Stabilized Compact Hyperspectral Imaging System, Phase II For the simulation and investigation of the system performance, we used the Simulink tool of Matlab. The transductor used in the feed-back line control is characterized by the Rate Gyro transfer function installed onboard of Ardupilot. For the control system, we considered a plant that represents the transfer function of the servo system control model for an inertial stabilized Gimbal platform. Here we developed a new approach to stabilize the Gimbal platform, which is based on neural network. The hardware architecture is characterized by an Ardupilot platform that allows the control of both the mobile device and the Gimbal. The stabilization of the line of sight (LOS) consists in tracking the command velocity in presence of nonlinear noise due to the external environment. The aim of this work is the stabilization of a Gimbal platform for optical sensors acquisitions in topographic applications using mobile vehicles.
of Civil Engineering and Architecture, University of Catania, Catania (Italy)
Michele, Mangiameli, E-mail: Giuseppe, Mussumeci [Dept. A gimbal platform stabilization for topographic applicationsĮnergy Technology Data Exchange (ETDEWEB)
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