Neural networks based identification of helicopter dynamics using flight data

Author

Suresh, S. ; Kumar, Meda Vinay ; Omkar, S.N. ; Mani, V. ; Sampath, Prasad

Author_Institution

Dept. of Aerosp. Eng., Indian Inst. of Sci., Bangalore, India

Volume

1

fYear

2002

fDate

18-22 Nov. 2002

Firstpage

10

Abstract

Identification of lateral and longitudinal dynamics of a helicopter using flight data is presented. Neural networks with linear filter also known as Narendra´s model and recurrent neural networks with internal memory (memory neuron networks) are used for the purpose. These networks are used for identifying the rate and attitude response of the helicopter to a given longitudinal cyclic and lateral cyclic inputs. The relative effectiveness of these algorithms has been discussed.

Keywords

aerodynamics; attitude control; helicopters; recurrent neural nets; Narendra model; attitude response; flight data; helicopter dynamics; internal memory; lateral cyclic inputs; lateral dynamics; linear filter; longitudinal cyclic inputs; longitudinal dynamics; memory neuron networks; neural networks based identification; recurrent neural networks; Aerodynamics; Artificial neural networks; Feeds; Helicopters; Multi-layer neural network; Neural networks; Neurons; Nonlinear dynamical systems; Nonlinear filters; Power system modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on

Print_ISBN

981-04-7524-1

Type

conf

DOI

10.1109/ICONIP.2002.1202121

Filename

1202121