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This work is focused on designing practical tracking controller for a small scale helicopter following predefined trajectories.
This paper presents a nonlinear adaptive aggressive controller to provide the small scale helicopter with full authority of a variety of flight conditions.
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.
This study proposes a hybrid of conventional back propagation training algorithm for the NARX network and multiobjective differential evolution (MODE) algorithm for identification of a nonlinear model of an unmanned small scale helicopter from experimental flight data.
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This paper reports the design and testing of an embedded system for a low-cost small scaled helicopter (Benzin Acrobatic from VarioTM with a 1.8 m diameter rotor).
Results show that the identified model can accurately predict the response of the small-scale helicopter.
Simulations and flight tests on a small-scale helicopter are carried out to verify the proposed control scheme.
The effectiveness of the path-following methodology is accessed in simulation for low altitude terrain-following maneuvers of a small-scale helicopter using a full dynamic model of the vehicle.
In particular the first real-time feasible, model-based TP and model-based TT, for a small-scale helicopter in autorotation is being demonstrated using a high-fidelity, high-order, nonlinear helicopter simulation.
Small-scale helicopters are very attractive for a wide range of civilian and military applications due to their unique features.
Small-scale helicopters are very attractive for a wide range of applications due to their unique features.
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