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. |
Lamouchi, Rihab; Raïssi, Tarek; Amairi, Messaoud; Aoun, Mohamed Interval Observer Design for Actuator Fault Estimation of Linear Parameter-Varying Systems Conférence vol. 51, no. 24, 2018, (Cited by: 5; All Open Access, Bronze Open Access, Green Open Access). Résumé | Liens | BibTeX | Étiquettes: Actuators, Discrete time linear parameter varying (LPV) system, External disturbances, Fault estimation, Interval observers, Linear parameter varying systems, Linear systems, Lower and upper bounds, LPV systems, Parameter estimation, Unknown input observer @conference{Lamouchi20181199b, This work is devoted to fault estimation of discrete-time Linear Parameter-Varying (LPV) systems subject to actuator additive faults and external disturbances. Under the assumption that the measurement noises and the disturbances are unknown but bounded, an interval observer is designed, based on decoupling the fault effect, to compute a lower and upper bounds for the unmeasured state and the faults. Stability conditions are expressed in terms of matrices inequalities. A case study is used to illustrate the effectiveness of the proposed approach. © 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{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. |
2017 |
Lamouchi, Rihab; Amairi, Messaoud; Raïssi, Tarek; Aoun, Mohamed Actuator Fault Compensation in a Set-membership Framework for Linear Parameter-Varying Systems Conférence vol. 50, no. 1, 2017, (Cited by: 11; All Open Access, Bronze Open Access, Green Open Access). Résumé | Liens | BibTeX | Étiquettes: Actuator fault, Actuators, Closed loop stability, Convergence of numerical methods, External disturbances, Interval estimation, Interval observers, Linear parameter varying systems, Linear state feedback, Linear systems, State feedback, Unknown but bounded @conference{Lamouchi20174033b, This paper presents an actuator fault compensation approach for a class of Linear Parameter-Varying (LPV) systems with noisy measurements. The proposed method is based on interval estimation assuming that the fault vector and the external disturbances are unknown but bounded. The main idea consists in designing a control law, based on a linear state feedback, to guarantee closed-loop stability. An additive control, based on fault bounds, is used to compensate the impact of actuator faults on system performances. The closed-loop stability of the robust fault compensation scheme is established in the Lyapunov sense. Finally, the theoretical results are illustrated using a numerical example. © 2017 |
Publications
2018 |
Robust internal model controller for quadrotor UAV Conférence 2018, (Cited by: 4). |
Interval Observer Design for Actuator Fault Estimation of Linear Parameter-Varying Systems Conférence vol. 51, no. 24, 2018, (Cited by: 5; All Open Access, Bronze Open Access, Green Open Access). |
Robust internal model controller for quadrotor UAV Conférence 2018, (Cited by: 4). |
2017 |
Actuator Fault Compensation in a Set-membership Framework for Linear Parameter-Varying Systems Conférence vol. 50, no. 1, 2017, (Cited by: 11; All Open Access, Bronze Open Access, Green Open Access). |