Modeling Flow Separation for Real-Time Flight Simulation Using Vortex Methods

2017 ◽  
Author(s):  
Kai M. Loftfield ◽  
Robert Luckner
Keyword(s):  
Real Time ◽  
Flow Separation ◽  
Flight Simulation ◽  
Vortex Methods ◽  
Modeling Flow

Helicopter Rotor Blade Flexibility Simulation for Aeroelasticity and Flight Dynamics Applications

2014 ◽  
Vol 59 (4) ◽  
pp. 1-18 ◽  
Author(s):  
Ioannis Goulos ◽  
Vassilios Pachidis ◽  
Pericles Pilidis
Keyword(s):  
Real Time ◽  
Rotor Blade ◽  
Flight Dynamics ◽  
Integrated Approach ◽  
Flight Simulation ◽  
Response Characteristics ◽  
Helicopter Flight ◽  
Finite State ◽  
The Time Domain ◽  
Blade Loads

This paper presents a mathematical model for the simulation of rotor blade flexibility in real-time helicopter flight dynamics applications that also employs sufficient modeling fidelity for prediction of structural blade loads. A matrix/vector-based formulation is developed for the treatment of elastic blade kinematics in the time domain. A novel, second-order-accurate, finite-difference scheme is employed for the approximation of the blade motion derivatives. The proposed method is coupled with a finite-state induced-flow model, a dynamic wake distortion model, and an unsteady blade element aerodynamics model. The integrated approach is deployed to investigate trim controls, stability and control derivatives, nonlinear control response characteristics, and structural blade loads for a hingeless rotor helicopter. It is shown that the developed methodology exhibits modeling accuracy comparable to that of non-real-time comprehensive rotorcraft codes. The proposed method is suitable for real-time flight simulation, with sufficient fidelity for simultaneous prediction of oscillatory blade loads.

Realistic 3D Terrain Roaming and Real-Time Flight Simulation

3D Research ◽  
2014 ◽  
Vol 5 (4) ◽  
Author(s):  
Xiang Que ◽  
Gang Liu ◽  
Zhenwen He ◽  
Guang Qi
Keyword(s):  
Real Time ◽  
Flight Simulation ◽  
3D Terrain

Real-time Accurate Runway Detection based on Airborne Multi-sensors Fusion

2017 ◽  
Vol 67 (5) ◽  
pp. 542 ◽  
Author(s):  
Lei Zhang ◽  
Yue Cheng ◽  
Zhengjun Zhai
Keyword(s):  
Coordinate System ◽  
Real Time ◽  
Recognition Rate ◽  
Region Of Interest ◽  
Flight Simulation ◽  
Hierarchical Architecture ◽  
Projection Model ◽  
Line Segments ◽  
Navigation Data ◽  
Sensors Fusion

<p>Existing methods of runway detection are more focused on image processing for remote sensing images based on computer vision techniques. However, these algorithms are too complicated and time-consuming to meet the demand for real-time airborne application. This paper proposes a novel runway detection method based on airborne multi-sensors data fusion which works in a coarse-to-fine hierarchical architecture. At the coarse layer, a vision projection model from world coordinate system to image coordinate system is built by fusing airborne navigation data and forward-looking sensing images, then a runway region of interest (ROI) is extracted from a whole image by the model. Furthermore, EDLines which is a real-time line segments detector is applied to extract straight line segments from ROI at the fine layer, and fragmented line segments generated by EDLines are linked into two long runway lines. Finally, some unique runway features (e.g. vanishing point and runway direction) are used to recognise airport runway. The proposed method is tested on an image dataset provided by a flight simulation system. The experimental results show that the method has advantages in terms of speed, recognition rate and false alarm rate.</p>

Research on Simulation Modeling of Flight Aircraft Air under the Condition of Turbulent Flow

2014 ◽  
Vol 684 ◽  
pp. 165-168
Author(s):  
Yong Zhou Jiang ◽  
Yong Ji Lu ◽  
Yan Ding ◽  
Xiao Yan Yu
Keyword(s):  
Real Time ◽  
Simulation Modeling ◽  
Flight Simulation ◽  
Flight Simulator ◽  
Aircraft Structure ◽  
Atmospheric Disturbance ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Simulation Based ◽  
Long Time

The flight process often in turbulence. Atmospheric turbulence causes flight bump, long time will cause damage to the aircraft structure fatigue. This paper establishes a model for atmospheric disturbance, flight simulation. Based on the aircraft through all kinds of atmospheric disturbance is studied. The use of embedded database and real-time simulation platform, built a run, in the PC machine can be used for dynamic model for real-time simulation of flight simulator.

Development of a Real-Time Simulation with Intelligent Tutoring Capabilities

1994 ◽  
Vol 38 (18) ◽  
pp. 1247-1251
Author(s):  
Sallie E. Gordon ◽  
Bettina A. Babbitt ◽  
Herbert H. Bell ◽  
H. Barbara Sorensen
Keyword(s):  
Real Time ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Flight Simulation ◽  
Proof Of Concept ◽  
Fire Control ◽  
Tutoring Systems ◽  
Verbal Responses ◽  
Time Simulation ◽  
Pilot Behavior

Training programs for complex tasks are increasingly using simulations to provide transfer of training to the job environment without incurring high costs of on-the-job training. A second trend in training is toward the use of intelligent tutoring systems (ITSs) to provide individualized feedback to optimize training. Combining simulation with an ITS can be especially beneficial, but use of intelligent tutoring mechanisms such as expert systems is often difficult in a complex, realtime environment. In this paper, we describe the development of a proof-of-concept training program that combines F-16 flight simulation with an embedded real-time intelligent tutoring system. In the simulation, pilots learn the correct use of advanced fire control radar modes to locate and assess multiple enemy formations (search and sort tasks). The expert system monitors pilot behavior and verbal responses as the pilot flies the simulation. At certain critical points, if the pilot's performance has fallen outside of pre-specified parameters of “safe” behavior, the tutoring component stops the simulation and feedback is provided.

Aeroelastic modeling of macrobody aircraft for real-time-flight simulation

1997 ◽  
Author(s):  
M. Dahms ◽  
W. Kindel ◽  
R. Liebich ◽  
O. Schmidt ◽  
M. Dahms ◽  
...  
Keyword(s):  
Real Time ◽  
Flight Simulation

scholarly journals INTERVIEW: FAR SIMULERER

2001 ◽  
Author(s):  
Lars Holmberg
Keyword(s):  
Real Time ◽  
Flight Simulation ◽  
Spare Time

The article consists of an interview with a man who has computerised flight simulation as his hobby. In discussing his hobby, he stresses the need for a hobby that has no purpose except the entertainment. From his desktop he simulates actual SAS-flights in Denmark and Europe in real-time. This kind of flight simulation is, in his own words, “as real as it gets”, and that is just the point. The virtual aspect presents him with a predicament, however, since he has a limited amount of spare time in which to fly, and thus he mostly limits himself to shorter flights; the flight from Copenhagen to Aalborg, with an estimated 35 minutes, is his most frequent route.  

Real-Time Flight Simulation for Multirotor UAV Integrated with the Dynamic Inflow Aerodynamics

2021 ◽  
Author(s):  
SunHoo Park ◽  
JeongUk Yoo ◽  
Sihun Lee ◽  
SangJoon Shin
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Dynamic Characteristics ◽  
Flight Test ◽  
Flight Simulation ◽  
Forward Flight ◽  
Physical Constraints ◽  
Rotor Aerodynamics ◽  
Aerial Vehicles ◽  
Present Simulation

A real-time flight simulation for multirotor unmanned aerial vehicles (UAV) is performed in combination with dynamic inflow aerodynamics. The present combination procedure includes rotor/fuselage aerodynamics and trim analysis. The rotor aerodynamics is based on dynamic inflow aerodynamics, which is appropriate for the analysis of multirotor UAVs. The present simulation uses an appropriate formulation for fuselage aerodynamics. Trim analysis was conducted for climb and forward flight to determine the physical constraints of the UAV. Based on this procedure, a simulation was performed and validated against the flight test. It was found that the accuracy of flight simulation increased if the simulation is performed in combination with dynamic inflow aerodynamics. Using this methodology, the dynamic characteristics that affect the performance of UAVs were investigated.

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