Title :
Intelligent flight control design for helicopter yaw control
Author :
Ma, Guozhi ; Zein-Sabatto, Saleh ; Malkani, Mohan J.
Author_Institution :
Coll. of Eng. & Technol., Tennessee State Univ., Nashville, TN, USA
Abstract :
We present an approach to develop a model of a helicopter yaw dynamics using an artificial neural network. We designed an intelligent controller based on the neural network model to replace conventional controllers. Both of the training and testing results are presented
Keywords :
aircraft control; backpropagation; control system synthesis; dynamics; helicopters; intelligent control; neurocontrollers; artificial neural network; helicopter yaw control; intelligent controller; intelligent flight control design; yaw dynamics; Aerospace control; Artificial intelligence; Artificial neural networks; Communication system control; Control systems; DC motors; Helicopters; Intelligent control; Neural networks; Rotors;
Conference_Titel :
System Theory, 1998. Proceedings of the Thirtieth Southeastern Symposium on
Conference_Location :
Morgantown, WV
Print_ISBN :
0-7803-4547-9
DOI :
10.1109/SSST.1998.660043
