1993
DOI: 10.4050/jahs.38.4.3
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A Generalized Algorithm for Inverse Simulation Applied to Helicopter Maneuvering Flight

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Cited by 15 publications
(16 citation statements)
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“…In the second step, the time history of flight data associated to the prescribed trajectory are determined through application of an inverse simulation algorithm [21,22,23]. The inverse flight dynamics tool is implemented for a low order helicopter model.…”
Section: Methods Of Analysismentioning
confidence: 99%
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“…In the second step, the time history of flight data associated to the prescribed trajectory are determined through application of an inverse simulation algorithm [21,22,23]. The inverse flight dynamics tool is implemented for a low order helicopter model.…”
Section: Methods Of Analysismentioning
confidence: 99%
“…Tail rotor is modeled using momentum theory, with a uniform inflow. Given the expected variation of airspeed, and climb, heading and sideslip angles as a function of time, this model allows to efficiently compute pilot control commands (namely, main rotor collective and cyclic pitch, and tail rotor collective pitch) necessary for tracking the prescribed flight path (a nominal problem is solved, with a number of specified variables equal to available controls [21]). Further, it yields additional flight data that characterize the unsteady flight, like helicopter attitude angles, main rotor disc orientation with respect to relative wind, and low-frequency main rotor loads transmitted to the fuselage, that are conveniently used for the next aeroacoustic analysis.…”
Section: Methods Of Analysismentioning
confidence: 99%
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“…The same basic technique has been used by Whalley [5], in an interesting study that included a validation of the inverse simulation results through a series of piloted simulation experiments. Hess et al [6,7] have proposed an alternate technique, in which the required trajectory is divided into small steps; for a given step, the controls at the beginning of the step are known, and the equations of motion are integrated with guesses of the controls at the end of the step. The errors between the actual and the desired trajectories are calculated, and the controls at the end of the step are adjusted using a Newton-Raphson technique to reduce the errors to zero.…”
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confidence: 99%