Estimation of Lateral-Directional Unsteady Aerodynamic Models from Flight Test Data

Wang, Zhongjun; Lan, Edward; Brandon, Jay M.

doi:10.2514/6.2002-4626

Cited by 17 publications

(11 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The lateral-directional equivalent reduced frequency (k 2 ) related to and time rate of sideslip angle (d=dt) is computed in the same manner. 14) 3.3. Thrust model Although thrust will not directly affect the flying qualities to be examined below, a model is needed in simulation to help fly through the whole time period of interest in the computer.…”

Section: Modeling Preparationmentioning

confidence: 99%

Hazardous Levels of Commercial Aircraft Response to Atmospheric Turbulence

Chang¹,

Ye²,

Lan

et al. 2010

Trans. Japan Soc. Aero. S Sci.

View full text Add to dashboard Cite

Jet commercial aircraft in flight are frequently subject to atmospheric turbulence resulting in rapidly varying aerodynamic and flight dynamic characteristics. These varying characteristics not only pose threats to flight safety, but also may cause structural damages and reduce fatigue life. The sudden plunging motion in severe turbulence is the major reason to cause the flight injuries. To express the turbulence intensities as the hazardous levels, the root-mean-square g-load, usually for structural load, has been examined in the past twenty years. The present study is to examine alternative ideas to express the hazardous levels of sudden plunging motion in atmospheric turbulence. The flying-quality parameters of the plunging mode and integrated turbulence-induced downwash will be proposed as more reliable parameters for the turbulence hazard levels.

show abstract

Section: Modeling Preparationmentioning

confidence: 99%

Hazardous Levels of Commercial Aircraft Response to Atmospheric Turbulence

Chang¹,

Ye²,

Lan

et al. 2010

Trans. Japan Soc. Aero. S Sci.

View full text Add to dashboard Cite

show abstract

“…Figure 12 shows typical hysteresis caused by stall in normal force coefficient at the high angle of attack flight [64] and in steady-state pitching moment response [65].…”

Section: Advanced Aerodynamic Modelsmentioning

confidence: 99%

Goal- and Object-Oriented Models of the Aerodynamic Coefficients

Rohács¹

2018

Flight Physics - Models, Techniques and Technologies

View full text Add to dashboard Cite

Nowadays, aeronautics discovers new ways of flights near the critical regimes, unconventional aircraft forms, utilizing the micro-electro-mechanical technologies in flow and aircraft control, adaptive and morphing structures, using the structures and controls based on the biological principles, developing highly flexible structures, etc. Before deployment, these new technologies and solutions must be evaluated, tested in wide aerodynamic, flight dynamic simulations that require improved and new type of aerodynamic coefficient models. The chapter overviews the applicable models of the aerodynamic coefficients, introduces some new models and demonstrates how the different models can be applied in different goal-and object-oriented solutions. The following will be shortly explained: (i) how the aerodynamic forces and moments are generating, (ii) how the linear, nonlinear, steady, and nonsteady aerodynamic coefficient structures and forms might be modeled, and (iii) how to harmonize the model with the goal and object of investigations.

show abstract

“…The present paper is based on the modeling technique suggested by Tan & Xie [6]. This technique was first applied to aviation technology in 1997 and later to flight data [7]. A detailed description of the fuzzy-logic algorithm is available in reference [8].…”

Section: A Fuzzy-logic Techniquementioning

confidence: 99%

Artificial Intelligence Applications of Hazardous Mitigation for Transport Aircraft in Severe Atmospheric Turbulence

Chang¹

2016

Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

View full text Add to dashboard Cite

Abstract-This paper presents a new study of artificial intelligence applications through the simulation of improved control strategy to provide the mitigation concepts and formulate preventive actions for aircraft operation. The fuzzy-logic modeling (FLM) technique is used to establish flight control models with the function of nonlinear dynamic inversion based on the datasets from the flight data recorder (FDR). The improved control strategy can be obtained through the simulations of flight control models to enhance the stability and controllability before and during the severe atmospheric turbulence.

show abstract

Estimation of Lateral-Directional Unsteady Aerodynamic Models from Flight Test Data

Cited by 17 publications

References 4 publications

Hazardous Levels of Commercial Aircraft Response to Atmospheric Turbulence

Hazardous Levels of Commercial Aircraft Response to Atmospheric Turbulence

Goal- and Object-Oriented Models of the Aerodynamic Coefficients

Artificial Intelligence Applications of Hazardous Mitigation for Transport Aircraft in Severe Atmospheric Turbulence

Contact Info

Product

Resources

About