The Causes of Attrition in Initial Entry Rotary Wing Training

Author(s):  
Thomas K. Elliott ◽  
Reid P. Joyce ◽  
Robert L. McMullen
Keyword(s):  
1979 ◽  
Vol 23 (1) ◽  
pp. 329-333 ◽  
Author(s):  
Jerry M. Childs

The purpose of this research was to develop procedures for objectively evaluating Initial Entry Rotary Wing (IERW) student performance in flight. Maneuvers of the Basic Instrument phase were addressed. Descriptive inflight scoring procedures to assess absolute deviations of desired values from observed values at designated times, were developed. Desired values were determined on the basis of the rates specified in IERW training guides. Observed values were instrument indications of airspeed, altitude, or heading at those times. Four tolerance categories were incorporated into alternative six-point maneuver scoring algorithms designed to assess aircraft control precision. The criterion for acceptable proficiency was the maintenance of each sampled measure within standard IERW tolerance limits for each sampling point of a maneuver. Tests of the objective scoring procedures were conducted in the UH-1 flight simulator.


2002 ◽  
Vol 12 (4) ◽  
pp. 359-375 ◽  
Author(s):  
John E. Stewart ◽  
John A. Dohme ◽  
Robert T. Nullmeyer

2006 ◽  
Author(s):  
T. Brunye ◽  
G. Riccio ◽  
J. Sidman ◽  
A. Darowski ◽  
F. J. Diedrich
Keyword(s):  

2020 ◽  
Vol 71 (7) ◽  
pp. 828-839
Author(s):  
Thinh Hoang Dinh ◽  
Hieu Le Thi Hong

Autonomous landing of rotary wing type unmanned aerial vehicles is a challenging problem and key to autonomous aerial fleet operation. We propose a method for localizing the UAV around the helipad, that is to estimate the relative position of the helipad with respect to the UAV. This data is highly desirable to design controllers that have robust and consistent control characteristics and can find applications in search – rescue operations. AI-based neural network is set up for helipad detection, followed by optimization by the localization algorithm. The performance of this approach is compared against fiducial marker approach, demonstrating good consensus between two estimations


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