Neural network based low-airspeed sensor

Journal of the American Helicopter Society

Volumn 47, Issue 3, 2002, Pages 178-185

  McCool, Kelly ^a   Morales, Miguel A ^a   Haas, David J ^a  

^a Naval Air Systems Command   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; FATIGUE OF MATERIALS; HELICOPTERS; NEURAL NETWORKS; SENSORS;

LOW-AIRSPEED SENSORS;

FLIGHT DYNAMICS;

EID: 0036641421     PISSN: 00028711     EISSN: None     Source Type: Journal    
DOI: 10.4050/jahs.47.178     Document Type: Article

References (18)

1. Tail rotor performance in presence of main rotor, ground, and winds
2. Analysis tools derived from investigating aerodynamic loss of tail rotor effectiveness
3. Analytical investigation of flight conditions leading to unanticipated right yaw
4. Development of a fatigue tracking program for navy rotary wing aircraft
5. Fatigue life reliability based on measured usage, flight loads, and fatigue strength variation
6. Review of LORAS characteristics and development history
7. The measurement of helicopter air data using a swiveling pitot-static pressure probe
8. Evaluation of the helicopter low airspeed system LASSIE
9. Flight investigation of a helicopter low airspeed estimation system based on measurement of control parameters
10. A promising low speed air data system for helicopters
11. Prediction of helicopter airspeed and sideslip angle in the low speed environment
12. Using radial basis functions to approximate a function and its error bounds
13. Fast learning in networks of locally tuned processing units