2018 |
Walid, Mizouri; Slaheddine, Najar; Mohamed, Aoun; Lamjed, Bouabdallah Robust internal model controller for quadrotor UAV Conférence 2018, (Cited by: 4). Résumé | Liens | BibTeX | Étiquettes: Aircraft control, Antennas, Disturbance, External disturbances, Internal model control, Internal model controllers, Model predictive control, Models, Quad-rotor UAV, Quadrotor dynamic modeling, Technological advancement, Uncertainty, Uncertainty analysis, Unmanned aerial vehicles (UAV) @conference{Walid2018138b,Modeling and control of Unmanned Aerial Vehicle (UAV) such quadrotor becomes more attractive to researchers due to the UAV applications and technological advancements. Therefore the quadrotor system can probably affected by model uncertainties, noises and external disturbances. In this work, a quadrotor dynamic model is presented and a new control approach based on Internal Model Control strategy is designed to stabilize the 6 DoF quadrotor UAV under model uncertainties, noises and external disturbances, provided by numerical simulations. © 2018 IEEE. |
Walid, Mizouri; Slaheddine, Najar; Mohamed, Aoun; Lamjed, Bouabdallah Modelling, identification and control of a quadrotor UAV Conférence 2018, (Cited by: 6). Résumé | Liens | BibTeX | Étiquettes: Antennas, Attitude stabilisation, Estimated model, Experimental test, Identification (control systems), Model parameters, Models, PID controllers, Quad rotors, Quad-rotor UAV, Quadrotor unmanned aerial vehicles, Three term control systems, Unmanned aerial vehicles (UAV) @conference{Walid20181017b,In this paper mathematical model of quadrotor Unmanned Aerial Vehicle UAV was developed using Euler-Lagrange approach, then model parameters was identified using calculations and experimental tests. In order to validate the estimated model a PID controller for attitude stabilisation was designed and tested by several simulation and experimental step responses. Finally a flight test was successfully accomplished providing the adequacy of the model. © 2018 IEEE. |
Walid, Mizouri; Slaheddine, Najar; Mohamed, Aoun; Lamjed, Bouabdallah Robust internal model controller for quadrotor UAV Conférence 2018, (Cited by: 4). Résumé | Liens | BibTeX | Étiquettes: Aircraft control, Antennas, Disturbance, External disturbances, Internal model control, Internal model controllers, Model predictive control, Models, Quad-rotor UAV, Quadrotor dynamic modeling, Technological advancement, Uncertainty, Uncertainty analysis, Unmanned aerial vehicles (UAV) @conference{Walid2018138,Modeling and control of Unmanned Aerial Vehicle (UAV) such quadrotor becomes more attractive to researchers due to the UAV applications and technological advancements. Therefore the quadrotor system can probably affected by model uncertainties, noises and external disturbances. In this work, a quadrotor dynamic model is presented and a new control approach based on Internal Model Control strategy is designed to stabilize the 6 DoF quadrotor UAV under model uncertainties, noises and external disturbances, provided by numerical simulations. © 2018 IEEE. |
Walid, Mizouri; Slaheddine, Najar; Mohamed, Aoun; Lamjed, Bouabdallah Modelling, identification and control of a quadrotor UAV Conférence 2018, (Cited by: 6). Résumé | Liens | BibTeX | Étiquettes: Antennas, Attitude stabilisation, Estimated model, Experimental test, Identification (control systems), Model parameters, Models, PID controllers, Quad rotors, Quad-rotor UAV, Quadrotor unmanned aerial vehicles, Three term control systems, Unmanned aerial vehicles (UAV) @conference{Walid20181017,In this paper mathematical model of quadrotor Unmanned Aerial Vehicle UAV was developed using Euler-Lagrange approach, then model parameters was identified using calculations and experimental tests. In order to validate the estimated model a PID controller for attitude stabilisation was designed and tested by several simulation and experimental step responses. Finally a flight test was successfully accomplished providing the adequacy of the model. © 2018 IEEE. |
2009 |
Yahiia, M.; Tao, J. W.; Benzina, H.; Abdelkrim, M. N. Electromagnetic modeling of complex uniaxial waveguide discontinuities using a modified MVM Conférence 2009, ISBN: 9781424427208, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Antennas, Basis functions; Electromagnetic modeling; First order; Full wave analysis; HFSS simulation; Modal basis; Multi-modal; Uniaxial waveguides; Variational methods, Computer aided analysis; Computer aided design @conference{Yahiia2009153,In this paper, we extend the use of the Multimodal Variational Method (MVM) to complex discontinuities. Classical MVM can’t be applied to characterize complex discontinuities because the modal basis of such complex discontinuities is very difficult to find. To surmount this deficiency, we divide the complex aperture into elements where the electromagnetic (EM) wave can be easily expanded into first order basis functions. Then, we assemble all basis functions to get the complete basis in the entire complex discontinuity. The modified MVM is applied to full-wave analysis of the computer aided design of complex irises. The results are validated with the HFSS simulations, the theoretical Marcuvitz and the experimental results. © 2009 IEEE. |
Publications
2018 |
Robust internal model controller for quadrotor UAV Conférence 2018, (Cited by: 4). |
Modelling, identification and control of a quadrotor UAV Conférence 2018, (Cited by: 6). |
Robust internal model controller for quadrotor UAV Conférence 2018, (Cited by: 4). |
Modelling, identification and control of a quadrotor UAV Conférence 2018, (Cited by: 6). |
2009 |
Electromagnetic modeling of complex uniaxial waveguide discontinuities using a modified MVM Conférence 2009, ISBN: 9781424427208, (cited By 0). |