Control Mapping Methodology for Roll, Pitch, and Yaw Control on Morphing-Wing Aircraft

2022 ◽  
Author(s):  
Zachary S. Montgomery ◽  
Douglas F. Hunsaker
Keyword(s):  
2009 ◽  
Vol 129 (2) ◽  
pp. 315-323
Author(s):  
Kazuo Suzuki ◽  
Naoki Hoshino ◽  
Noboru Inomata ◽  
Hiroshi Kimura ◽  
Tamiya Fujiwara

Author(s):  
Manoj Prabakar Sargunaraj ◽  
Dibya Raj R. Adhikari ◽  
Carlos E. Soto ◽  
Samik Bhattacharya

Actuators ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 107
Author(s):  
Nakash Nazeer ◽  
Xuerui Wang ◽  
Roger M. Groves

This paper presents a study on trailing edge deflection estimation for the SmartX camber morphing wing demonstrator. This demonstrator integrates the technologies of smart sensing, smart actuation and smart controls using a six module distributed morphing concept. The morphing sequence is brought about by two actuators present at both ends of each of the morphing modules. The deflection estimation is carried out by interrogating optical fibers that are bonded on to the wing’s inner surface. A novel application is demonstrated using this method that utilizes the least amount of sensors for load monitoring purposes. The fiber optic sensor data is used to measure the deflections of the modules in the wind tunnel using a multi-modal fiber optic sensing approach and is compared to the deflections estimated by the actuators. Each module is probed by single-mode optical fibers that contain just four grating sensors and consider both bending and torsional deformations. The fiber optic method in this work combines the principles of hybrid interferometry and FBG spectral sensing. The analysis involves an initial calibration procedure outside the wind tunnel followed by experimental testing in the wind tunnel. This method is shown to experimentally achieve an accuracy of 2.8 mm deflection with an error of 9%. The error sources, including actuator dynamics, random errors, and nonlinear mechanical backlash, are identified and discussed.


2021 ◽  
pp. 1-17
Author(s):  
B. Nugroho ◽  
J. Brett ◽  
B.T. Bleckly ◽  
R.C. Chin

ABSTRACT Unmanned Combat Aerial Vehicles (UCAVs) are believed by many to be the future of aerial strike/reconnaissance capability. This belief led to the design of the UCAV 1303 by Boeing Phantom Works and the US Airforce Lab in the late 1990s. Because UCAV 1303 is expected to take on a wide range of mission roles that are risky for human pilots, it needs to be highly adaptable. Geometric morphing can provide such adaptability and allow the UCAV 1303 to optimise its physical feature mid-flight to increase the lift-to-drag ratio, manoeuvrability, cruise distance, flight control, etc. This capability is extremely beneficial since it will enable the UCAV to reconcile conflicting mission requirements (e.g. loiter and dash within the same mission). In this study, we conduct several modifications to the wing geometry of UCAV 1303 via Computational Fluid Dynamics (CFD) to analyse its aerodynamic characteristics produced by a range of different wing geometric morphs. Here we look into two specific geometric morphing wings: linear twists on one of the wings and linear twists at both wings (wash-in and washout). A baseline CFD of the UCAV 1303 without any wing morphing is validated against published wind tunnel data, before proceeding to simulate morphing wing configurations. The results show that geometric morphing wing influences the UCAV-1303 aerodynamic characteristics significantly, improving the coefficient of lift and drag, pitching moment and rolling moment.


Soft Robotics ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 33-48 ◽  
Author(s):  
Benjamin Jenett ◽  
Sam Calisch ◽  
Daniel Cellucci ◽  
Nick Cramer ◽  
Neil Gershenfeld ◽  
...  

Author(s):  
Guilherme Amaral do Prado Campos ◽  
Luciano Santos Constantin Raptopoulos ◽  
Max Suell Dutra

2021 ◽  
Vol 158 ◽  
pp. 107721
Author(s):  
Fátima Oliva-Palomo ◽  
Anand Sanchez-Orta ◽  
Hussain Alazki ◽  
Pedro Castillo ◽  
Aldo-Jonathan Muñoz-Vázquez
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document