2021
DOI: 10.2514/1.c036180
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Flight-Test Validation of a Takeoff Performance Uncertainty Model

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Cited by 2 publications
(1 citation statement)
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“…Let us now consider the M onte C arlo sim ulation setup that we pressed into the service of validating the fram ework. We have selected seven probabilistic inputs for this exercise, divided into three categories: propulsion, aerodynam ics, and piloting technique [6]. In order to test the influence of all the uncertainty to the designed auto-landing system , the article choose the variables which will have m ajor influence to the auto-landing process and perform ance such as aircraft aerodynam ic error, actuator error, sensors error, initial flight condition and wind disturbance, then we use the M onte C arlo sim ulation to verify that the C AT III auto-landing system can satisfy the practical operational requirem ents [7].…”
Section: Cat III Monte Carlo Simulation Analysis Schemementioning
confidence: 99%
“…Let us now consider the M onte C arlo sim ulation setup that we pressed into the service of validating the fram ework. We have selected seven probabilistic inputs for this exercise, divided into three categories: propulsion, aerodynam ics, and piloting technique [6]. In order to test the influence of all the uncertainty to the designed auto-landing system , the article choose the variables which will have m ajor influence to the auto-landing process and perform ance such as aircraft aerodynam ic error, actuator error, sensors error, initial flight condition and wind disturbance, then we use the M onte C arlo sim ulation to verify that the C AT III auto-landing system can satisfy the practical operational requirem ents [7].…”
Section: Cat III Monte Carlo Simulation Analysis Schemementioning
confidence: 99%