Publications

@conference{Walid2018138b,

title = {Robust internal model controller for quadrotor UAV},

author = {Mizouri Walid and Najar Slaheddine and Aoun Mohamed and Bouabdallah Lamjed},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050009476\&doi=10.1109%2fASET.2018.8379848\&partnerID=40\&md5=d90913214fa716cddebe22721d3a1de3},

doi = {10.1109/ASET.2018.8379848},

year  = {2018},

date = {2018-01-01},

journal = {2018 International Conference on Advanced Systems and Electric Technologies, IC_ASET 2018},

pages = {138 \textendash 143},

abstract = {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.},

note = {Cited by: 4},

keywords = {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)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Walid20181017b,

title = {Modelling, identification and control of a quadrotor UAV},

author = {Mizouri Walid and Najar Slaheddine and Aoun Mohamed and Bouabdallah Lamjed},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060609636\&doi=10.1109%2fSSD.2018.8570512\&partnerID=40\&md5=b0620e6b48eff6b008da10a0093e2680},

doi = {10.1109/SSD.2018.8570512},

year  = {2018},

date = {2018-01-01},

journal = {2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018},

pages = {1017 \textendash 1022},

abstract = {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.},

note = {Cited by: 6},

keywords = {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)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Walid2018138,

title = {Robust internal model controller for quadrotor UAV},

author = {Mizouri Walid and Najar Slaheddine and Aoun Mohamed and Bouabdallah Lamjed},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050009476\&doi=10.1109%2fASET.2018.8379848\&partnerID=40\&md5=d90913214fa716cddebe22721d3a1de3},

doi = {10.1109/ASET.2018.8379848},

year  = {2018},

date = {2018-01-01},

journal = {2018 International Conference on Advanced Systems and Electric Technologies, IC_ASET 2018},

pages = {138 \textendash 143},

abstract = {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.},

note = {Cited by: 4},

keywords = {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)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Walid20181017,

title = {Modelling, identification and control of a quadrotor UAV},

author = {Mizouri Walid and Najar Slaheddine and Aoun Mohamed and Bouabdallah Lamjed},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060609636\&doi=10.1109%2fSSD.2018.8570512\&partnerID=40\&md5=b0620e6b48eff6b008da10a0093e2680},

doi = {10.1109/SSD.2018.8570512},

year  = {2018},

date = {2018-01-01},

journal = {2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018},

pages = {1017 \textendash 1022},

abstract = {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.},

note = {Cited by: 6},

keywords = {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)},

pubstate = {published},

tppubtype = {conference}

}