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Control Neuronal en Línea para Regulación y Seguimiento de Trayectorias de Posición para un Quadrotor

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Control Neuronal en Línea para Regulación y Seguimiento de Trayectorias de Posición para un Quadrotor

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Yañez Badillo, H.; Tapia Olvera, R.; Aguilar Mejía, O.; Beltrán Carbajal, F. (2017). Control Neuronal en Línea para Regulación y Seguimiento de Trayectorias de Posición para un Quadrotor. Revista Iberoamericana de Automática e Informática industrial. 14(2):141-151. https://doi.org/10.1016/j.riai.2017.01.001

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Metadatos del ítem

Título: Control Neuronal en Línea para Regulación y Seguimiento de Trayectorias de Posición para un Quadrotor
Otro titulo: On Line Adaptive Neurocontroller for Regulating Angular Position and Trajectory of Quadrotor System
Autor: Yañez Badillo, Hugo Tapia Olvera, Rubén Aguilar Mejía, Omar Beltrán Carbajal, Francisco
Fecha difusión:
Resumen:
[ES] Los sistemas de control automático día a día se han convertido en elementos importantes en la vida cotidiana, en tal sentido, se deben proponer nuevas y mejores formas de incorporar modelos matemáticos y algoritmos ...[+]


[EN] Automatic control systems every day become more important in everyday life; therefore, it must find new and better ways to incorporate mathematical models and adaptive control algorithms to cope with a number of ...[+]
Palabras clave: Neural Network Control , Model-Free Control , Automatic Learning , Underactuated Systems , Control Neuronal , Control Libre de Modelo , Aprendizaje Automático , Sistemas Subactuados
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Revista Iberoamericana de Automática e Informática industrial. (issn: 1697-7912 ) (eissn: 1697-7920 )
DOI: 10.1016/j.riai.2017.01.001
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.1016/j.riai.2017.01.001
Código del Proyecto:
info:eu-repo/grantAgreement/CONACyT//266333/
Agradecimientos:
Este trabajo ha sido apoyado por CONACYT bajo el proyecto 266333.
Tipo: Artículo

References

Argentim L. M., Rezende W. C., Santos P. E., Aguiar R. A., 2013. PID, LQR and LQR-PID on a Quadcopter Platform. Proc. of the IEEE International Conference on Informatics, Electronics & Vision (ICIEV), 1-6. DOI: 10.1109/ICIEV.2013.6572698

Bauer P., Ritzinger G., Soumelidis A., Bokor J., 2008. LQ Servo control design with Kalman filter for a quadrotor UAV. Periodica Polytechnic Transportation Engineering 36(1-2), 9-14. DOI: 10.3311/pp.tr.2008-1-2.02

Benallegue A., Mokhtari A., Fridman L., 2008. High-order sliding-mode observer for a quadrotor UAV. International Journal of Robust and Nonlinear Control 18(4-5), 427-440. DOI: 10.1002/rnc.1225 [+]
Argentim L. M., Rezende W. C., Santos P. E., Aguiar R. A., 2013. PID, LQR and LQR-PID on a Quadcopter Platform. Proc. of the IEEE International Conference on Informatics, Electronics & Vision (ICIEV), 1-6. DOI: 10.1109/ICIEV.2013.6572698

Bauer P., Ritzinger G., Soumelidis A., Bokor J., 2008. LQ Servo control design with Kalman filter for a quadrotor UAV. Periodica Polytechnic Transportation Engineering 36(1-2), 9-14. DOI: 10.3311/pp.tr.2008-1-2.02

Benallegue A., Mokhtari A., Fridman L., 2008. High-order sliding-mode observer for a quadrotor UAV. International Journal of Robust and Nonlinear Control 18(4-5), 427-440. DOI: 10.1002/rnc.1225

Bouabdallah S., Noth A., Siegwart R., 2004. PID vs LQ Control Techniques Applies to an Indoor micro quadrotor. Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems 3, 2451-2456. DOI: 10.1109/IROS.2004.1389776

Bouabdallah S., Siegwart R., 2005. Backstepping and Sliding-mode Techniques. Applied to an Indoor Micro Quadrotor. Proc. of the IEEE International Conference on Robotics and Automation, 2247-2252. DOI: 10.1109/ROBOT.2005.1570447

Bouabdallah S., Siegwart R., 2007. Full Control of a Quadrotor. Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 153- 158. DOI: 10.1109/IROS.2007.4399042

Boudjedir H., Bouhali O., Rizoug N., 2014. Adaptive neural network control based on neural observer for a quadrotor unmanned aerial vehicle. Advanced Robotics 28(17), 1151-1164. DOI: 10.1080/01691864.2014.913498

Bresciani T., 2008. Modeling, Identification and Control of a Quadrotor Helicopter. Master Thesis. Department of Automatic Control, Lund University, Suecia.

Brown M., Harris C., 1994. Neurofuzzy Adaptive Modelling and Control. Prentice Hall International, New York.

Castillo P., García P., Lozano R., Albertos P., 2007. Modelado y estabilización de un Helicóptero con cuatro rotores. Revista Iberoamericana de Automática e Informática Industrial 4(1), 41-57. DOI: 10.1016/S1697- 7912(07)70191-7

Chee K.Y., Zhong Z.W., 2013. Control, navigation and collision avoidance for an unmanned aerial vehicle. Sensors and Actuators A: Physical 190, 66-76. DOI: 10.1016/j.sna.2012.11.017

Dierks T., Jagannathan S., 2010. Output Feedback Control of a Quadrotor UAV Using Neural Networks. IEEE Transactions on Neural Networks 21(1), 50- 66. DOI: 10.1109/TNN.2009.2034145

Dikmen I. C., Arisoy A., Temeltas H., 2009. Attitude Control of a Quadrotor. Proc. of the 14th IEEE International Conference on Recent Advances in Space Technologies, 722-727. DOI: 10.1109/RAST.2009.5158286

Dydek Z.T., Annaswamy A.M., Lavretsky E., 2013. Adaptive configuration control of multiple UAVs. Control Engineering Practice 21(8), 1043-1052. DOI:10.1016/j.conengprac.2013.03.010

Emran B., Yesildirek A., 2014. Robust Nonlinear Composite Adaptative Control of Quadrotor. International Journal of Digital Information and Wireless Communications 4(2), 213-225. DOI: 10.17781/P001100

En-Hui Z., Jing-Jing X., Ji-Liang L., 2014. Second order sliding mode control for a quadrotor UAV. ISA Transactions 53(4), 1350-1356. DOI: 10.1016/j.isatra.2014.03.010

Erginer B., Altug E., 2007. Modeling and PD Control of a Quadrotor VTOL Vehicle. Proc. of the IEEE Intelligent Vehicles Symposium, 894-899. DOI: 10.1109/IVS.2007.4290230

Estelles S., Tomas-Rodriguez M., 2015. Quadrotor multibody modelling by vehiclesim: adaptive technique for oscillations in a PVA control system. Journal of Vibration and Control. DOI: 10.1177/1077546315619776.

Fatan M., Sefidgari B. L., Barenji A. V., 2013. An Adaptive Neuro PID for Controlling the Altitude of Quadcopter Robot. Proc. of the IEEE 18th International Conference on Methods and Models in Automation and Robotics (MMAR), 662-665. DOI: 10.1109/MMAR.2013.6669989

Hoffmann G. M., Waslander S. L., Tomlin C. J., 2008. Quadrotor Helicopter trajectory tracking control. In AIAA Guidance, Navigation and Control Conference and Exhibit, Honolulu, Hawaii, USA.

Jing-Jing X., En-Hui Z., 2014. Position and attitude tracking control for a quadrotor UAV. ISA Transactions 53(3), 725-731. DOI: 10.1016/j.isatra.2014.01.004

Johnson N. L., Leang K. K., 2013. Enhanced proportional-derivative control of a micro Quadcopter. Proc. of the ASME Dynamics Systems and Control Conference, 1-5. DOI:10.1115/DSCC2013-3990

Luque-Vega L., Castillo-Toledo B., Loukianov A. G., 2012. Robust block second order sliding mode control for a quadrotor. Journal of the Franklin Institute 349(2), 719-739. DOI: 10.1016/j.jfranklin.2011.10.017

Meng Leong B. T., Ming Low S., Po-Leen Ooi M., 2012. Low-Cost Microcontroller-based Hover Control Design of a Quadcopter. Proc. of the International Symposium on Robotics and Intelligent Sensors (IRIS) 41. 458-464. DOI: 10.1016/j.proeng.2012.07.198

Mian A. A., Daobo W., 2008. Modeling and Backstepping-based Nonlinear Control Strategy for a 6 DOF Quadrotor Helicopter. Chinese Journal of Aeronautics 21(3), 261-268. DOI: 10.1016/S1000-9361(08)60034-5

Mian A. A., Mian I. A., Daobo W., 2008. Backstepping based PID Control Strategy for an Underactuated Aerial Robot. Proc. of the 17th IFAC World Congress 17, 15636-15641. DOI: 10.3182/20080706-5-KR-1001.02644

Mohamed Raju H., 2010. Dynamics Modeling and Control of a Quad-Rotor Helicopter. Master Thesis. Memorial University of Newfoundland, Faculty of Engineering & Applied Science, Canada.

Nicol C., Macnab C. J. B., Ramirez-Serrano A., 2008. Robust Neural Network Control of a Quadrotor helicopter. Proc. of the IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 1233-1238. DOI: 10.1109/CCECE.2008.4564736

Osman A. H., Abdelazim T., Malik O. P., 2005. Transmission Line Distance Relaying Using on-line Trained Neural Network. IEEE Transactions on Power Delivery 20(2), 1257-1264. DOI: 10.1109/TPWRD.2004.833897

Pipatpaibul P. -i., Ouyang P. R., 2013. Application of Online Iterative Learning Tracking Control for Quadrotor UAVs. ISRN Robotics Volume 2013. ID 476153.

Saad D., 1998. On-line learning in neural networks. Cambridge University Press, UK.

Salih A. L., Moghavvemi M., Mohamed H. A., Gaeid K. S., 2010. Flight PID controller design for a UAV quadrotor. Scientific Research and Essays 5(23), 3660-3667.

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