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- W804516131 abstract "A maximum likelihood estimator for a linear system with state and observation noise is developed to determine stability and control derivatives from flight data obtained in the presence of turbulence. The formulation for the longitudinal short-period mode is presented briefly, including a special case that greatly simplifies the problem if the measurement noise on one signal is negligible. The effectiveness and accuracy of the technique are assessed by applying it first to simulated flight data, in which the true parameter values and state noise are known, then to actual flight data obtained in turbulence. The results are compared with data obtained in smooth air and with wind-tunnel data. The complete maximum likelihood estimator, which accounts for both state and observation noise, is shown to give the most accurate estimate of the stability and control derivatives from flight data obtained in turbulence. It is superior to the techniques that ignores state noise and to the simplified method that neglects the measurement noise on the angle-of-attack signal." @default.
- W804516131 created "2016-06-24" @default.
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- W804516131 date "1974-04-01" @default.
- W804516131 modified "2023-09-27" @default.
- W804516131 title "Identification of aircraft stability and control derivatives in the presence of turbulence" @default.
- W804516131 hasPublicationYear "1974" @default.
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