scholarly journals Helicopter Aerodynamics and Design Course Developed from a Research-Informed Framework

2015 ◽  
Author(s):  
Antonette Cummings ◽  
William Oakes
AIAA Journal ◽  
2017 ◽  
Vol 55 (9) ◽  
pp. 2859-2874 ◽  
Author(s):  
Markus Raffel ◽  
André Bauknecht ◽  
Manikandan Ramasamy ◽  
Gloria K. Yamauchi ◽  
James T. Heineck ◽  
...  

2012 ◽  
Vol 468-471 ◽  
pp. 93-96
Author(s):  
Meng Bai ◽  
Min Hua Li

A neural network control method for heading control of miniature unmanned helicopter is proposed. For the complexity of miniature helicopter aerodynamics, it is difficult to identify the unknown parameters of yaw dynamics model. To design heading controller of miniature helicopter without modelling yaw dynamics, BP neural network is designed as heading controller, which is trained by collected flight data. By training, the neural network controller can learn the artificial operation strategy and realize the heading control of miniature unmanned helicopter. Simulation results demonstrate the validity of the proposed neural network control method.


Wind Energy ◽  
2007 ◽  
pp. 199-204
Author(s):  
Wolfgang Geissler ◽  
Markus Raffel ◽  
Guido Dietz ◽  
Holger Mai

Author(s):  
John Seddon ◽  
Simon Newman

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