Showing papers in "Aerospace Science and Technology in 2018"

TL;DR: A comprehensive review of the past research on aircraft icing is presented, including a simple introduction to the recently rising issue on supercooled large droplet (SLD) icing.

TL;DR: In this article, a quasi-3D hyperbolic theory is presented for the free vibration analysis of functionally graded (FG) porous plates resting on elastic foundations by dividing transverse displacement into bending, shear, and thickness stretching parts.

TL;DR: The simulation results show that the control scheme proposed can ensure that the quadrotor track the target trajectory quickly and accurately while maintaining stability, even with external disturbances.

TL;DR: In this article, the free vibration behavior of functionally graded (FG) polymer composite nanoplates reinforced with graphene nanoplatelets (GNPs), resting on a Pasternak foundation, was analyzed.

TL;DR: An intelligent self-organized algorithm (ISOA) is proposed to solve a cooperative search-attack mission planning problem for multiple unmanned aerial vehicles (multi-UAV) using the distributed control architecture which divides the global optimization problem into several local optimization problems.

TL;DR: In this article, an analytical approach to investigate buckling and post-buckling behavior of FGM plate with porosities resting on elastic foundations and subjected to mechanical, thermal and thermomechanical loads is presented.

TL;DR: A refined strong tracking unscented Kalman filter (RSTUKF) is developed to enhance the UKF robustness against kinematic model error and maintains the optimal UKF estimation in the absence of kinematics model error.

TL;DR: In this paper, the buckling behavior of functionally graded graphene reinforced porous nanocomposite cylindrical shells with spinning motion was investigated and subjected to a combined action of external axial compressive force and radial pressure.

TL;DR: In this paper, numerical simulations are performed to study the effect of micro air jets on the mixing of fuel in the cavity flameholder of the scramjet, where the authors mainly focused on the optimum position of fuel (C2H4) injection and the mixing rate inside the cavity.

TL;DR: In this article, a first order shear deformation theory based finite element approach is used to investigate the free vibration behaviour of functionally graded thin, moderately thick and thick multi-layer composite plates reinforced with graphene nanoplatelets (GPLs).

TL;DR: The six-degree-of-freedom dynamic model of the VTVL is developed, and then the error tracking state equation is established as well, and a novel fixed-time extended state observer is presented to estimate the error state and the total disturbances in the presence of nonlinear, couplings, uncertain parameters and external disturbances.

TL;DR: The design space for wing design optimization with a fixed planform is largely convex, with a very small flat region that is multimodal because of numerical errors, but this region is so small, and the differences in drag so minor, that the design space can be considered unimodal for all practical purposes.

TL;DR: A novel adaptive UKF is presented by combining the maximum likelihood principle (MLP) and moving horizon estimation (MHE) to overcome this limitation of the classical unscented Kalman filter.

TL;DR: In this article, the authors studied the dynamic behavior of functionally graded carbon nanotubes-reinforced composite shell structures (FG-CNTRC) via forced vibration analysis and developed the governing equations of motion using a linear discrete double directors finite element model.

TL;DR: A novel formation control algorithm suitable for both leaders and followers is designed, in which leaders are implicitly integrated into the swarm and can be influenced by navigational feedback from their flockmates.

TL;DR: A disturbance observer is designed to estimate and compensate for the disturbances including the external disturbance and vibration from the flexible appendages and a sample state feedback control scheme is proposed for flexible spacecraft subject to input magnitude and rate constrains, using the linear matrix inequality (LMI) and Lyapunov direct method.

TL;DR: In this paper, a rotating detonation engine (RDE) combustion chamber fed by hydrogen-air mixtures of different composition was modeled numerically using 3D geometry, and the timeconsuming parts of the numerical code were parallelized using the OpenMP technique.

TL;DR: This paper surveys the contemporary progress and problems of moving mass control technology in various capacities including spacecraft, spinning projectiles, underwater vehicles, unmanned aerial vehicles, and re-entry vehicles, special attention is paid to the moving mass configurations and its corresponding layout design methods.

TL;DR: An observer-based fault-tolerant control scheme is proposed for the attitude stabilization of rigid spacecraft in the presence of actuator fault, configuration misalignment, input saturation and even external disturbances simultaneously and can be guaranteed theoretically to be stable by the development of Lyapunov methodology.

TL;DR: A new adaptive nonsingular fast terminal sliding mode surface (ANFTSMS) is developed that has both the merits of the NFTSM avoiding singularity and the adaptive method regulating the relative weighting of parameters, and provides designers a new way to improve the control performance.

TL;DR: In this paper, the authors developed a new surrogate modeling technique called regularized minimal-energy tensor-product splines (RMTS), which is not susceptible to training failure and whose prediction time does not increase with the number of training points.

TL;DR: The results show that the proposed adaptive Kalman filter using random forest with fuzzy logic can achieve a better classification of GNSS accuracy compared to the others.

TL;DR: It is shown that the control algorithm developed is not only robust against environmental disturbances and adaptive to unknown time-varying inertia properties caused by the mass displacement of large-scale deployable appendages, but also able to steer the attitude reorientation errors along prescribed transient and steady-state behavioral bounds, despite the presence of actuator faults and input saturation.

TL;DR: It is proved that the state variables converge to the prescribed region at a prescribed exponential rate under the proposed low-complexity prescribed performance attitude control scheme.

TL;DR: In this paper, the effects of surface wettability on the dynamic ice accretion process over the surface of a rotating UAS propeller model and the resultant aerodynamic performance degradation due to the ice accumulation were evaluated.

TL;DR: The developed surrogate model is called the improved Kriging (IK) algorithm with extremum response surface method (ERSM), or the IK-ERSM, which can better model the nonlinearity within the system and is demonstrated to be efficient and accurate in structural dynamic probabilistic analysis.

TL;DR: The traditional sizing and aerodynamic estimation methods were adopted to incorporate the characteristics of the BWB platform, whereas CFD computations were employed in order to calculate the aerodynamic and stability coefficients, during the layout comparison and trade studies.

TL;DR: A novel observer based event-triggered control (OETC) approach is proposed to cope with external disturbances, actuator faults and reduce the control updating frequency that possesses resource-saving advantages of both LO and ETC.

TL;DR: In this paper, the elastic buckling and free vibration analyses of porous-cellular plates based on the first-order shear deformation theory (FSDT) were presented, where porosities are dispersed by uniform and non-uniform (symmetric and asymmetric) distribution patterns.

TL;DR: A novel meta-heuristic based on a modified genetic algorithm is proposed to improve the solution of this stochastic task assignment problem and the effect of the proposed algorithm, both on searching capability and convergence speed, is demonstrated by comparison with the random search algorithm.