Lift and control augmentation by spanwise blowing over trailing edge flaps and control surfaces

1972 ◽  
Author(s):  
C. DIXON
Keyword(s):  
Trailing Edge ◽  
Trailing Edge Flaps ◽  
And Control ◽  
Control Surfaces

Sizing and control of trailing edge flaps on a smart rotor for maximum power generation in low fatigue wind regimes

Wind Energy ◽  
2015 ◽  
Vol 19 (4) ◽  
pp. 607-624 ◽  
Author(s):  
Jeroen Smit ◽  
Lars O. Bernhammer ◽  
Sachin T. Navalkar ◽  
Leonardo Bergami ◽  
Mac Gaunaa
Keyword(s):  
Power Generation ◽  
Maximum Power ◽  
Trailing Edge ◽  
Trailing Edge Flaps ◽  
Wind Regimes ◽  
And Control

The Development of a Closed-Loop Flight Controller for Localized Flow Control and Gust Alleviation Using Biomimetic Feathers on Aircraft Wings

2011 ◽  
Author(s):  
Christopher J. Blower ◽  
Adam M. Wickenheiser
Keyword(s):  
Flow Control ◽  
Flight Control ◽  
Trailing Edge ◽  
Control Loops ◽  
Aircraft Wings ◽  
Trailing Edge Flaps ◽  
Wing Structure ◽  
Inertial Measurements ◽  
Control Surfaces

On avian wings, significant flow control is accomplished using localized control loops, both active and passive, between leading- and trailing-edge feathers. Conversely, most man-made flight control systems respond to perturbations in inertial measurements (global states) rather than the flow itself (local states). This paper presents the design of a distributed, biomimetic flow control system and a characterization of its performance compared to a wing with traditional control surfaces relying on inertial measurements. This new design consists of a skeletal wing structure with a network of feather-like panels installed on the upper and lower surfaces, extending beyond the trailing edge and replacing leading- and trailing-edge flaps/ailerons. Each feather is able to deform into and out of the boundary layer, thus permitting local airflow manipulation and transpiration through the wing. For this study, two airfoil sections are compared — a standard wing section with a trailing-edge flap, and section with multiple trailing-edge feathers. COMSOL Multiphysics is used to model the flow field under various flight conditions and flap deflections. A dynamics model of the wing is also simulated in order to compute the disturbances caused by wind gusts. Continuous gusts are simulated, and the disturbance rejection capabilities of the baseline and feathered wing cases are compared.

scholarly journals Helicopter Vibratory Loads Alleviation through Combined Action of Trailing-Edge Flap and Variable-Stiffness Devices

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Massimo Gennaretti ◽  
Giovanni Bernardini ◽  
Jacopo Serafini ◽  
Marco Molica Colella
Keyword(s):  
Rotor Blade ◽  
Variable Stiffness ◽  
Control Procedure ◽  
Trailing Edge ◽  
Control Effort ◽  
Control Laws ◽  
Trailing Edge Flaps ◽  
Control Configuration ◽  
Helicopter Main Rotor ◽  
And Control

The aim of this paper is the assessment of the capability of controllers based on the combined actuation of flaps and variable-stiffness devices to alleviate helicopter main rotor vibratory hub loads. Trailing-edge flaps are positioned at the rotor blade tip region, whereas variable-stiffness devices are located at the pitch link and at the blade root. Control laws are derived by an optimal control procedure based on the best trade-off between control effectiveness and control effort, under the constraint of satisfaction of the equations governing rotor blade aeroelastic response. The numerical investigation concerns the analysis of performance and robustness of the control techniques developed, through application to a four-bladed helicopter rotor in level flight. The identification of the most efficient control configuration is also attempted.

Adaptive Neurocontrol of Simulated Rotor Vibrations Using Trailing Edge Flaps

1999 ◽  
Vol 10 (11) ◽  
pp. 855-871
Author(s):  
MICHAEL G. SPENCER ◽  
ROBERT M. SANNER ◽  
INDERJIT CHOPRA
Keyword(s):  
Trailing Edge ◽  
Trailing Edge Flaps

scholarly journals A Parametric Study of Trailing Edge Flap Implementation on Three Different Airfoils Through an Artificial Neuronal Network

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 828
Author(s):  
Igor Rodriguez-Eguia ◽  
Iñigo Errasti ◽  
Unai Fernandez-Gamiz ◽  
Jesús María Blanco ◽  
Ekaitz Zulueta ◽  
...  
Keyword(s):  
Aerodynamic Coefficients ◽  
Trailing Edge ◽  
High Lift ◽  
Trailing Edge Flaps ◽  
Artificial Neural Network Ann ◽  
Lift And Drag ◽  
Artificial Neuronal Network ◽  
Naca 0012 ◽  
Drag Ratio ◽  
Lift To Drag Ratio

Trailing edge flaps (TEFs) are high-lift devices that generate changes in the lift and drag coefficients of an airfoil. A large number of 2D simulations are performed in this study, in order to measure these changes in aerodynamic coefficients and to analyze them for a given Reynolds number. Three different airfoils, namely NACA 0012, NACA 64(3)-618, and S810, are studied in relation to three combinations of the following parameters: angle of attack, flap angle (deflection), and flaplength. Results are in concordance with the aerodynamic results expected when studying a TEF on an airfoil, showing the effect exerted by the three parameters on both aerodynamic coefficients lift and drag. Depending on whether the airfoil flap is deployed on either the pressure zone or the suction zone, the lift-to-drag ratio, CL/CD, will increase or decrease, respectively. Besides, the use of a larger flap length will increase the higher values and decrease the lower values of the CL/CD ratio. In addition, an artificial neural network (ANN) based prediction model for aerodynamic forces was built through the results obtained from the research.

scholarly journals Body Flexibility Enhances Maneuverability in the World’s Largest Predator

2018 ◽  
Vol 59 (1) ◽  
pp. 48-60 ◽  
Author(s):  
P S Segre ◽  
D E Cade ◽  
J Calambokidis ◽  
F E Fish ◽  
A S Friedlaender ◽  
...  
Keyword(s):  
Open Ocean ◽  
The Body ◽  
Long Distance ◽  
Active Surfaces ◽  
Aquatic Locomotion ◽  
And Performance ◽  
And Control ◽  
Blue Whales ◽  
Control Surfaces ◽  
Complex Trajectories

Abstract Blue whales are often characterized as highly stable, open-ocean swimmers who sacrifice maneuverability for long-distance cruising performance. However, recent studies have revealed that blue whales actually exhibit surprisingly complex underwater behaviors, yet little is known about the performance and control of these maneuvers. Here, we use multi-sensor biologgers equipped with cameras to quantify the locomotor dynamics and the movement of the control surfaces used by foraging blue whales. Our results revealed that simple maneuvers (rolls, turns, and pitch changes) are performed using distinct combinations of control and power provided by the flippers, the flukes, and bending of the body, while complex trajectories are structured by combining sequences of simple maneuvers. Furthermore, blue whales improve their turning performance by using complex banked turns to take advantage of their substantial dorso-ventral flexibility. These results illustrate the important role body flexibility plays in enhancing control and performance of maneuvers, even in the largest of animals. The use of the body to supplement the performance of the hydrodynamically active surfaces may represent a new mechanism in the control of aquatic locomotion.

Unsteady aerodynamic modeling and control of the wind turbine with trailing edge flap

2018 ◽  
Vol 10 (6) ◽  
pp. 063304 ◽  
Author(s):  
Wenguang Zhang ◽  
Yifeng Wang ◽  
Ruijie Liu ◽  
Haipeng Liu ◽  
Xu Zhang
Keyword(s):  
Wind Turbine ◽  
Trailing Edge ◽  
Modeling And Control ◽  
Aerodynamic Modeling ◽  
Unsteady Aerodynamic ◽  
Trailing Edge Flap ◽  
And Control
Sign in / Sign up

Export Citation Format

Share Document