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It was difficult to develop flight control systems, because the helicopter dynamics is nonlinear.
The helicopter dynamics also includes parametric uncertainties and is subject to unknown external disturbances.
The synthesis is performed on a family of linear models obtained by linearising the tandem helicopter dynamics in hover conditions for different mass and payload configurations.
This methodology allows the overall behaviour indicated in bifurcation diagrams to be linked to helicopter dynamics with the future potential to contribute to control design.
Even research models of helicopter dynamics often lead to a large number of equations of motion with periodic coefficients; and Floquet theory is a widely used mathematical tool for dynamic analysis.
This single and systematic design methodology is shown to achieve the semi-global ultimate boundedness of the closed-loop helicopter dynamics and accommodate the aggressive control of flight maneuvers from hovering to trajectory tracking.
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It can thus serve as a suitable fault tolerant control approach for quad-rotor helicopter governed by nonlinear dynamics.
The high-fidelity and well-validated nonlinear model of a small scale helicopter incorporating with unmodeled dynamics and measurement uncertainties is adopted in the numerical simulations.
In this paper we present a fault-tolerant, reliable flight control scheme for Bell-205 Helicopter for the lateral dynamics case.
As such example, the elevation dynamics of a helicopter model was used.
Results indicate neural network based black-box method is suitable for modeling the nonlinear dynamics of the helicopter.
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