Energy approach to flight control

Kurdjukov, A.; Natchinkina, G. N.; Shevtchenko, A. M.

doi:10.2514/6.1998-4211

Cited by 25 publications

(6 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This work has explored the possibility of the flight path angle going beyond the maximum PFPA (γ p,max ) in certain maneuvers. Lambregts 7 and Kurdjukov et al 11 have used PFPA in the formulation of the Total Energy Control System. PFPA has been used under the name Total Energy Angle by van den Hoven et al 24 and Amelink et al 29 in the description of the Total Energy Based Perspective Flight Path Display.…”

Section: Potential Flight Path Angle/total Energy Anglementioning

confidence: 99%

“…Cruise 15 3. General 2,6,7,9,10,11,16,17,18,21,25,26,27,29 4. Turning and maneuvering 22,30 Classification based on Purpose 1.…”

Section: A Classification and Organization Of The Literaturementioning

confidence: 99%

“…6,21,11,17,18 Specific total energy is usually the metric representing the energy state of the aircraft as defined in many papers. It is also known as Energy Height.…”

Section: Specific Total Energymentioning

confidence: 99%

“…Pilot training for better energy management 6 3. Development of control system based on energy management 7,9,11,16 4. Trajectory optimization algorithms 25 5.…”

Section: A Classification and Organization Of The Literaturementioning

confidence: 99%

See 3 more Smart Citations

Energy-Based Metrics for General Aviation Flight Data Record Analysis

Puranik

Harrison

Min

et al. 2016

16th AIAA Aviation Technology, Integration, and Operations Conference

View full text Add to dashboard Cite

Energy management and energy state awareness are important concepts in aircraft safety analysis. Many loss-of-control accidents can be attributed to poor energy management. Energy-based metrics provide a measurable quantity of the energy state of the aircraft and can be viewed as an objective currency to evaluate various safety-critical conditions. In this work, we have surveyed key energy-based metrics from various domains and identified the challenges of implementing these metrics for General Aviation operations. Modifications to existing metrics and definition of some new energy metrics are proposed. A methodology is developed that can be used to evaluate and visualize the energy metrics. These energy metrics can then be used to understand and enhance General Aviation aircraft safety using retrospective flight data analysis.

show abstract

Section: Potential Flight Path Angle/total Energy Anglementioning

confidence: 99%

“…Cruise 15 3. General 2,6,7,9,10,11,16,17,18,21,25,26,27,29 4. Turning and maneuvering 22,30 Classification based on Purpose 1.…”

Section: A Classification and Organization Of The Literaturementioning

confidence: 99%

“…6,21,11,17,18 Specific total energy is usually the metric representing the energy state of the aircraft as defined in many papers. It is also known as Energy Height.…”

Section: Specific Total Energymentioning

confidence: 99%

“…Pilot training for better energy management 6 3. Development of control system based on energy management 7,9,11,16 4. Trajectory optimization algorithms 25 5.…”

Section: A Classification and Organization Of The Literaturementioning

confidence: 99%

See 2 more Smart Citations

Energy-Based Metrics for General Aviation Flight Data Record Analysis

Puranik

Harrison

Min

et al. 2016

16th AIAA Aviation Technology, Integration, and Operations Conference

View full text Add to dashboard Cite

show abstract

“…быëо отìе÷ено 78 сëу÷аев pеãистpаöии "воëн-убийö", пpи встpе÷е с котоpыìи поãибëи иëи поëу÷иëи повpежäения суäа и ëþäи [12]. В связи с высокой ÷астотой pеãистpаöии "воëнубийö" Евpопейскиì соþзоì быë пpофинансиpован пpоект Extreme Seas [13], в pаìках котоpоãо пëаниpоваëосü объеäинение усиëий øести евpопейских стpан, в тоì ÷исëе pоссийских у÷еных [9], с öеëüþ pазpаботатü ÷исëенные и физи÷еские иìитаöионные ìоäеëи возникновения "воëн-убийö", а также оöенитü их уãpозу в отноøении ìоpских суäов. В свете указанных заäа÷ ìожно отìетитü pаботы, в котоpых ÷исëенно [14] и экспеpиìентаëüно [15] иссëеäуется возäействие "воëн-убийö" на ìоpские суäа.…”

Section: заключениеunclassified

Multi-Agent Technology Method of Adaptive Cargo Traffic Scheduling for the International Space Station

Лахин¹,

Mayorov²

2015

MAU

View full text Add to dashboard Cite

tions of the mass, velocity and braking coefficient. These functions are approximated by the polynomials up to degree-4. The computer research stand was developed, including the mathematical model of Tupolev Tu-204. The deterministic and statistical tests within the range of the aircraft mass of 70-105 tons, approach speed of 200-220 km/h and friction coefficient of 0,3-0,75 were performed. The estimates of the accuracy of the forecast on the basis of the tests are presented.

show abstract