论文信息 - Optimal Control Framework for Gust Load Alleviation using Real time Aerodynamic Force Prediction from Artificial Hair Sensor Array - 字舞流文

Optimal Control Framework for Gust Load Alleviation using Real time Aerodynamic Force Prediction from Artificial Hair Sensor Array

Gregory W. Reich | Richard V. Beblo | Alexander M. Pankonien | Kaman S. Thapa Magar

[1] Benjamin T. Dickinson. Detecting fluid flows with bioinspired hair sensors , 2009 .

[2] T. E. Disney,et al. C-5A Active Load Alleviation System , 1977 .

[3] Kaman Thapa Magar,et al. Aerodynamic Parameter Prediction on a Airfoil with Flap via Artificial Hair Sensors and Feedforward Neural Network , 2016 .

[4] Martin J. Brenner,et al. Fly-by-Feel Sensing and Control: Aeroservoelasticity , 2014 .

[5] Raymond A. de Callafon,et al. Adaptive Feedback Control Algorithm for Flutter Boundary Expansion , 2009 .

[6] Gregory W. Reich,et al. Detection of flow separation and stagnation points using artificial hair sensors , 2015 .

[7] S. M. Mangalam. Phenomena-based real-time aerodynamic measurement system (PRAMS) , 2003, 2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652).

[8] Benjamin T. Dickinson,et al. Bioinspired Carbon Nanotube Fuzzy Fiber Hair Sensor for Air‐Flow Detection , 2014, Advanced materials.

[9] Arun S. Mangalam,et al. Unsteady Aerodynamic Observable for Gust Load Alleviation and Flutter Suppression , 2008 .

[10] Kaman Thapa Magar,et al. Aerodynamic parameters from distributed heterogeneous CNT hair sensors with a feedforward neural network , 2016, Bioinspiration & biomimetics.