Modeling and Analysis of Helicopter Flight Mechanics in Autorotation

2003 ◽  
Vol 40 (4) ◽  
pp. 675-682 ◽  
Author(s):  
S. S. Houston
Keyword(s):  
Flight Mechanics ◽  
Modeling And Analysis ◽  
Helicopter Flight

scholarly journals Improving a real-time helicopter simulator model with linear input filters

2021 ◽  
Author(s):  
Pavle Šćepanović ◽  
Frederik A. Döring
Keyword(s):  
Feedback Control ◽  
Time Domain ◽  
Flight Test ◽  
Flight Mechanics ◽  
Mean Square ◽  
Qualification Test ◽  
Model Inversion ◽  
Helicopter Flight ◽  
The Time Domain ◽  
Mean Square Errors

AbstractFor a broad range of applications, flight mechanics simulator models have to accurately predict the aircraft dynamics. However, the development and improvement of such models is a difficult and time consuming process. This is especially true for helicopters. In this paper, two rapidly applicable and implementable methods to derive linear input filters that improve the simulator model are presented. The first method is based on model inversion, the second on feedback control. Both methods are evaluated in the time domain, compared to recorded helicopter flight test data, and assessed based on root mean square errors and the Qualification Test Guide bounds. The best results were achieved when using the first method.

Comparison of Induced Velocity Models for Helicopter Flight Mechanics

2000 ◽  
Vol 37 (4) ◽  
pp. 623-629 ◽  
Author(s):  
R. E. Brown ◽  
S. S. Houston
Keyword(s):  
Flight Mechanics ◽  
Velocity Models ◽  
Helicopter Flight ◽  
Induced Velocity

Flight Mechanics Modeling and Analysis

2008 ◽  
Author(s):  
Jitendra R. Raol ◽  
Jatinder Singh
Keyword(s):  
Flight Mechanics ◽  
Modeling And Analysis

High‐Order State Space Simulation Models of Helicopter Flight Mechanics

1993 ◽  
Vol 38 (4) ◽  
pp. 16-27 ◽  
Author(s):  
Frederick D. Kim ◽  
Roberto Celi ◽  
Mark B. Tischler
Keyword(s):  
State Space ◽  
Simulation Models ◽  
High Order ◽  
Flight Mechanics ◽  
Helicopter Flight ◽  
Order State

scholarly journals Complementary Use of BG and EMR Formalisms for Multiphysics Systems Analysis and Control

2012 ◽  
Author(s):  
Zeineb Chikhaoui ◽  
Julien Gomand ◽  
François Malburet ◽  
Pierre-Jean Barre
Keyword(s):  
Flight Control ◽  
Systems Analysis ◽  
Control Structure ◽  
Bond Graph ◽  
Modeling And Analysis ◽  
Helicopter Flight ◽  
Lumped Parameter ◽  
Lumped Parameter Modeling ◽  
Definition Of ◽  
And Control

In this paper, a complex multiphysics system is modeled using two different energy-based graphical techniques: Bond Graph and Energetic Macroscopic Representation. These formalisms can be used together to analyze, model and control a system. The BG is used to support physical, lumped-parameter modeling and analysis processes, and then EMR is used to facilitate definition of a control structure through inversion-based methodology. This complementarity between both of these tools is set out through a helicopter flight control subsystem.

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