Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Abdelghani Chelihi"'
Publikováno v:
Drones, Vol 8, Iss 9, p 467 (2024)
This paper presents a fixed-time fault-tolerant adaptive neural network control scheme for the Twin-Rotor Multi-Input Multi-Output System (TRMS), which is challenging due to its complex, unstable dynamics and helicopter-like behavior with two degrees
Externí odkaz:
https://doaj.org/article/7d0d4ebc6e0048ee876472fc646dd9a3
Publikováno v:
ISA Transactions. 137:236-247
This paper proposes a control algorithm for controlling the position and attitude of a coaxial rotor drone without knowing the model dynamics. To overcome the major drawback of model-dependent approaches, an optimal model-free fuzzy controller (OMFFC
Publikováno v:
Journal of the Franklin Institute. 359:7337-7364
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, SAGE Publications, 2021, ⟨10.1177/09544100211025379⟩
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2021, ⟨10.1177/09544100211025379⟩
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, SAGE Publications, 2021, ⟨10.1177/09544100211025379⟩
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2021, ⟨10.1177/09544100211025379⟩
International audience; This article deals with the issue of designing a flight tracking controller for an unmanned aerial vehicle type of quadrotor based on an optimal model-free fuzzy logic control approach. The main design objective is to perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3d54a76a1109649ee4802654ba9b96b
https://hal-uphf.archives-ouvertes.fr/hal-03424975
https://hal-uphf.archives-ouvertes.fr/hal-03424975
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811562587
2nd International Conference on Electronic Engineering and Renewable Energy (ICEERE'2020)
2nd International Conference on Electronic Engineering and Renewable Energy (ICEERE'2020), Apr 2020, Saidia, Morocco. pp.451-459
2nd International Conference on Electronic Engineering and Renewable Energy (ICEERE'2020)
2nd International Conference on Electronic Engineering and Renewable Energy (ICEERE'2020), Apr 2020, Saidia, Morocco. pp.451-459
International audience; This paper presents a model-free controller based on particle swarm optimization algorithm (PSO-MFC) for the altitude systems of a Mini-Drone. A model-free control (MFC) is applied to improve both trajectory tracking and robus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01ebc6efd78f114be899b1f776f52142
https://doi.org/10.1007/978-981-15-6259-4_48
https://doi.org/10.1007/978-981-15-6259-4_48
Publikováno v:
Nonlinear Dynamics
Nonlinear Dynamics, Springer Verlag, 2020, 100 (4), pp.3449-3468. ⟨10.1007/s11071-020-05671-x⟩
Nonlinear Dynamics, Springer Verlag, 2020, 100 (4), pp.3449-3468. ⟨10.1007/s11071-020-05671-x⟩
International audience; This paper proposes a design of a direct optimal control for a class of multi-input–multi-output (MIMO) nonlinear systems. This work focuses on the design of optimal model-free backstepping controller for a MIMO quadrotor he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d63a7b0767e4cea28f6b8678a70442a2
https://hal-uphf.archives-ouvertes.fr/hal-03424362
https://hal-uphf.archives-ouvertes.fr/hal-03424362
Publikováno v:
020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP).
This work consists in designing a backstepping controller based on an adaptive fuzzy neural network (FNN). The main aim is the attitude control of a quadrotor system under uncertainties and disturbances. The FNN with adaptive parameters is exploited
Publikováno v:
020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP).
The aim of this paper is to design a neural network based adaptive backstepping controller (NN-ABC) for altitude and attitude control of a quadrotor system under uncertainties and disturbances. A radial basis function neural network (RBFNN) used as a
Publikováno v:
020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP).
The purpose of this paper, is to design a controller for quadrotor attitude system. The designed control law combines a continuous second-order sliding mode control (CSOSMC), the Fuzzy-Chebyshev network (FCN) and the adaptive control methodology. The
Publikováno v:
2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)
2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP), Mar 2020, EL OUED, Algeria. pp.422-427, ⟨10.1109/CCSSP49278.2020.9151520⟩
2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP), Mar 2020, EL OUED, Algeria. pp.422-427, ⟨10.1109/CCSSP49278.2020.9151520⟩
International audience; This paper proposes an optimal backstepping control-based bat algorithm (BA-OBC) scheme for the attitude of unmanned aerial vehicle with disturbance observer. The proposed controller offers an interesting designed strategy all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cfd899f8aa7ce70edbdbe1d0f6735df
https://hal-uphf.archives-ouvertes.fr/hal-03406077
https://hal-uphf.archives-ouvertes.fr/hal-03406077