Literatura académica sobre el tema "Hovering platform"
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Artículos de revistas sobre el tema "Hovering platform"
Bak, Jeongae, Jong-Won Kim, Sangrok Jin, Jongwon Kim y TaeWon Seo. "Hovering Performance Improvement by Modifying COG of Underwater Robotic Platform". Journal of the Korean Society for Precision Engineering 32, n.º 7 (1 de julio de 2015): 661–66. http://dx.doi.org/10.7736/kspe.2015.32.7.661.
Texto completoAksenov, Alexey Y., Sergey V. Kuleshov y Alexandra A. Zaytseva. "An Application of Computer Vision Systems to Solve the Problem of Unmanned Aerial Vehicle Control". Transport and Telecommunication Journal 15, n.º 3 (1 de septiembre de 2014): 209–14. http://dx.doi.org/10.2478/ttj-2014-0018.
Texto completoZhou, Xiangcong, Xiaogang Song, Deyuan Zhang y Yanqiang Liu. "Bionic Hovering Micro-Aerial Vehicle Using Array-Spiracle Wings". Machines 10, n.º 11 (2 de noviembre de 2022): 1016. http://dx.doi.org/10.3390/machines10111016.
Texto completoKHO, I. Eng, Ahmad Windardi ALIYAZIS y Maulahikmah GALINIUM. "FRONT-END APPLICATION FOR MULTIPLE STOREFRONTS ECOMMERCE USING CROSS-PLATFORM TECHNOLOGY". BUSINESS EXCELLENCE AND MANAGEMENT 12, n.º 1 (15 de marzo de 2022): 93–104. http://dx.doi.org/10.24818/beman/2022.12.1-07.
Texto completoJing, Yu, Fugui Qi, Fang Yang, Yusen Cao, Mingming Zhu, Zhao Li, Tao Lei, Juanjuan Xia, Jianqi Wang y Guohua Lu. "Respiration Detection of Ground Injured Human Target Using UWB Radar Mounted on a Hovering UAV". Drones 6, n.º 9 (3 de septiembre de 2022): 235. http://dx.doi.org/10.3390/drones6090235.
Texto completoHan, Jie, Weitao Jiang, Hongjian Zhang, Biao Lei, Lanlan Wang y Hongzhong Liu. "Submersible Soft‐Robotic Platform for Noise‐Free Hovering Utilizing Liquid–Vapor Phase Transition". Advanced Intelligent Systems 3, n.º 1 (enero de 2021): 2170013. http://dx.doi.org/10.1002/aisy.202170013.
Texto completoJatsun, S., O. Emelyanova, B. Lushnikov, A. S. Martinez Leon, L. M. Mosquera Morocho, A. Pechurin y C. A. Nolivos Sarmiento. "Hovering control algorithm validation for a mobile platform using an experimental test bench". IOP Conference Series: Materials Science and Engineering 1027 (12 de enero de 2021): 012008. http://dx.doi.org/10.1088/1757-899x/1027/1/012008.
Texto completoChen, Kun, Zhiwei Shi, Shengxiang Tong, Yizhang Dong y Jie Chen. "Aerodynamic interference test of quad tilt rotor aircraft in wind tunnel". Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, n.º 15 (29 de mayo de 2019): 5553–66. http://dx.doi.org/10.1177/0954410019852827.
Texto completoWang, Shengye, Haitao Wang, Wei Xiong y Guangfeng Guan. "Vibration Control of a Helicopter Rescue Simulator on a Flexible Base". Computational Intelligence and Neuroscience 2022 (25 de abril de 2022): 1–10. http://dx.doi.org/10.1155/2022/7173421.
Texto completoWang, Shengye, Haitao Wang, Wei Xiong y Guangfeng Guan. "Vibration Control of a Helicopter Rescue Simulator on a Flexible Base". Computational Intelligence and Neuroscience 2022 (25 de abril de 2022): 1–10. http://dx.doi.org/10.1155/2022/7173421.
Texto completoTesis sobre el tema "Hovering platform"
Camlica, Fahri Bugra. "Demonstration Of A Stabilized Hovering Platform For Undergraduate Laboratory". Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12605772/index.pdf.
Texto completos xPc module. The linear quadratic regulator and PD controllers are utilized to stabilize the aerial vehicle in its rotation axes. To eliminate the measurement noise generated by the sensors, low-pass second order transfer function is designed and its implementation to real time experiments is discussed.
Roberts, James Francis. "Design of an Autonomous Hovering Miniature Air Vehicle as a Flying Research Platform". Thesis, The University of Sydney, 2008. http://hdl.handle.net/2123/2773.
Texto completoWang, Chin-Hsiung y 王進雄. "Design of Test Platform and Hovering Control for Unmanned Helicopters". Thesis, 2010. http://ndltd.ncl.edu.tw/handle/99463548833687743460.
Texto completo國立屏東科技大學
車輛工程系所
98
A remote-control helicopter has six degrees of freedom and its dynamics is very nonlinear, which make the design of its controller very complicated. Without an autopilot, it is not easy to control an RC helicopter and crash may happen if an improper action is taken. In this research, a fuzzy controller is developed to do the hovering control of the helicopter. The controller design is validated by computer simulations and experimental tests on a platform. The simulations have been done under MATLAB/SIMULINK environment. The experimental tests were exercised with MATLAB XPC real-time control kernel. The test results of the fuzzy controller were also compared with those of an adaptive controller. It can be concluded that the advantage of the fuzzy controller design is its simplicity compared with the good adaptation of environment changes for the adaptive controller.
Roberts, James Francis. "Design of an Autonomous Hovering Miniature Air Vehicle as a Flying Research Platform". 2008. http://hdl.handle.net/2123/2773.
Texto completoThis thesis, by developing a Miniature Aerial Vehicle (MAV) hovering platform, presents a practical solution to allow researchers and students to implement their theoretical methods for guidance and navigation in the real world. The thesis is not concerned with the development of guidance and navigation algorithms, nor is it concerned with the development of external sensors. There have been some recent advances in guidance and navigation towards developing algorithms and simple sensors for MAVs. The task of developing a platform to test such advancements is the subject of this thesis. It is considered a difficult and time consuming process due to the complexities of autonomous flight control and the strict size, weight and computational requirements of this type of system. It would be highly beneficial to be able to buy a platform specifically designed for this task that already possesses autonomous hovering capability and the expansion connectivity for interfacing your own custom developed sensors and algorithms. Many biological and computer scientists would jump at the opportunity to maximize their research by real world implementation. The development of such a system is not a trivial task. It requires a great deal of understanding in a broad range of fields including; Aeronautical, Microelectronic, Mechanical, Computer and Embedded Software Engineering in order to create a successful prototype. The challenge of this thesis was to design a research platform to enable easy implementation of external sensors and guidance algorithms, in a real world environment for research and education. The system is designed so it could be used for a broad range of testing experiments. After extensive research in current MAV and avionics design it became obvious in several areas the best available products were not sufficient to meet the needs of the proposed platform. Therefore it was necessary to custom design and build; sensors, a data acquisition system and a servo controller. The latter two products are available for sale by Jimonics (www.jimonics.com). It was then necessary to develop a complete flight control system with integrated sensors, processor and wireless communications network which is called ‘The MicroBrain’. ‘The MicroBrain’ board measures only 45mm x 35mm x 11mm and weighs ~11 grams. The coaxial contra-rotating MAV platform design provides a high level of mechanical stability to help minimise the control system complexity. The platform was highly modified from a commercially available remotely controlled helicopter. The system incorporates a novel collision protection system that was designed to also double as a mounting place for external sensors around its perimeter. The platform equipped with ‘The MicroBrain’ is capable of fully autonomous hover. This provides a great base for testing guidance and navigational sensors and algorithms by decoupling the difficult task of platform design and low-level stability control. By developing a platform with these capabilities the researcher can now focus on the guidance and navigation task, as the difficulties in developing a custom platform have been taken care of. This therefore promotes a faster evolution of guidance and navigational control algorithms for MAVs.
Libros sobre el tema "Hovering platform"
National Aeronautics and Space Administration (NASA) Staff. Bias Momentum Sizing for Hovering Dual-Spin Platforms. Independently Published, 2018.
Buscar texto completoCapítulos de libros sobre el tema "Hovering platform"
Norton, Bryan G. "Biological Diversity". En Toward Unity among Environmentalists. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195093971.003.0014.
Texto completoRaza, Gauhar. "Precariat: narrow definition, discourse and reality". En Savoirs de la Précarité / knowledge from precarity, 249–57. Editions des archives contemporaines, 2020. http://dx.doi.org/10.17184/eac.3342.
Texto completoActas de conferencias sobre el tema "Hovering platform"
Jin, Sangrok, Jihoon Kim, Jongwon Kim y TaeWon Seo. "Hovering underwater robotic platform with four tilting thrusters". En 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2014. http://dx.doi.org/10.1109/aim.2014.6878303.
Texto completoSantana, Lucas V., Alexandre S. Brandao, Mario Sarcinelli-Filho y Ricardo Carelli. "Hovering control of a miniature helicopter attached to a platform". En 2011 IEEE 20th International Symposium on Industrial Electronics (ISIE). IEEE, 2011. http://dx.doi.org/10.1109/isie.2011.5984508.
Texto completoRong, Yu, Andrew Herschfelt, Jacob Holtom y Daniel W. Bliss. "Cardiac and Respiratory Sensing from a Hovering UAV Radar Platform". En 2021 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2021. http://dx.doi.org/10.1109/ssp49050.2021.9513771.
Texto completoRehman, Faheem Ur, Enrico Anderlini y Giles Thomas. "Development of a Simulation Platform for Underwater Transportation using Two Hovering Autonomous Underwater Vehicles". En International Conference of Control, Dynamic Systems, and Robotics. Avestia Publishing, 2019. http://dx.doi.org/10.11159/cdsr19.138.
Texto completoDumas, Antonio, Michele Trancossi y Stefano Anzillotti. "An Airship Design Methodology Based on Available Solar Energy in Low Stratosphere". En ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38931.
Texto completoAihaitijiang, A. y Cagdas D. Onal. "Development and Experimental Evaluation of a Quad-Tilt-Wing Flying Robot Platform". En ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-98500.
Texto completoTatoglu, Akin. "Parameter Identification and Closed Loop Control of a Flywheel Mounted Hovering Robot". En ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71877.
Texto completoLee, Jameson Y., Zachary Cook, Alexander Barzilov y Woosoon Yim. "Control of an Aerial Manipulator With an On-Board Balancing Mechanism". En ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66976.
Texto completoMetni, Najib A. "Sensor Fusion for Attitude and Bias Estimation for a VTOL UAV". En ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24989.
Texto completoBrech, Dale E., Joseph D. St. Amand, Randy C. Hoover, Jeff S. McGough y Mark Bedillion. "Design and Development of a Vector Thrusting Quadrotor for Minimally Induced Pitch and Roll Motions". En ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88408.
Texto completoInformes sobre el tema "Hovering platform"
Bruder, Brittany L., Katherine L. Brodie, Tyler J. Hesser, Nicholas J. Spore, Matthew W. Farthing y Alexander D. Renaud. guiBath y : A Graphical User Interface to Estimate Nearshore Bathymetry from Hovering Unmanned Aerial System Imagery. Engineer Research and Development Center (U.S.), febrero de 2021. http://dx.doi.org/10.21079/11681/39700.
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