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RISS 인기검색어
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- 저자 : Mujahed Al Dhaifallah (검색결과 2 건)
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Zhou, Xiao,Wang, Pinyi,Al-Dhaifallah, Mujahed,Rawa, Muhyaddin,Khadimallah, Mohamed Amine Techno-Press 2022 Advances in nano research Vol.12 No.1
The aim of current work is to evaluate thermo-electrical characteristics of graphene nanoplatelets Reinforced Composite (GNPRC) coupled with magneto-electro-elastic (MEE) face sheet. In this regard, a cylindrical smart nanocomposite made of GNPRC with an external MEE layer is considered. The bonding between the layers are assumed to be perfect. Because of the layer nature of the structure, the material characteristics of the whole structure is regarded as graded. Both mechanical and thermal boundary conditions are applied to this structure. The main objective of this work is to determine critical temperature and critical voltage as a function of thermal condition, support type, GNP weight fraction, and MEE thickness. The governing equation of the multilayer nanocomposites cylindrical shell is derived. The generalized differential quadrature method (GDQM) is employed to numerically solve the differential equations. This method is integrated with Deep Learning Network (DNN) with ADADELTA optimizer to determine the critical conditions of the current sandwich structure. This the first time that effects of several conditions including surrounding temperature, MEE layer thickness, and pattern of the layers of the GNPRC is investigated on two main parameters critical temperature and critical voltage of the nanostructure. Furthermore, Maxwell equation is derived for modeling of the MEE. The outcome reveals that MEE layer, temperature change, GNP weight function, and GNP distribution patterns GNP weight function have significant influence on the critical temperature and voltage of cylindrical shell made from GNP nanocomposites core with MEE face sheet on outer of the shell.
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Decentralized Backstepping Control of a Quadrotor with Tilted-rotor under Wind Gusts
Abdul-Wahid A. Saif,Abdulrahman Aliyu,Mujahed Al Dhaifallah,Moustafa Elshafei 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.5
Conventional unmanned aerial vehicles, quadrotor have a plethora of applications for civilian and military purposes. Quadrotors as the name implies usually have four input variables (fixed rotors) which are used to drive six outputs (i.e., 3 translational and 3 rotational motions), and this leads to coupling between motions. Tilt- rotor quadrotors are more versatile because they have more input variables to independently control its orientation and position without coupling. In this paper, a decentralized backstepping control approach is used to generate a new set of inputs capable of independently and simultaneously achieve decoupling of motions while rejecting wind disturbances. The tiltrotor quadrotor dynamic is first decentralized to achieve six subsystems, then controller inputs for each subsystem are generated via Lyapunov based backstepping method whereby the controller parameters are optimized by Differential Evolution (DE) technique. This system exhibits robustness capability because it is able to reject external disturbances.
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