A Novel Robust Controller with Command Filter for Uncertain Morphing Aircraft

A novel nonlinear NN-based approximation robust control scheme is proposed to solve tracking problem of a class of morphing vehicle in presence of unknown uncertainties and external disturbances. By employing NN to attenuate the system unknown uncertainties, an adaptive feedback control law is designed to automatic disturbance rejection in real time. The NN function reconstruction error is eliminated by the sliding-mode control. The proposed controller can cut down drastically the number of updated parameters, which results in much simpler control algorithm and convenient to implement in applications. Using a signal processing filter into the reference model, robust control is developed to guarantee that the tracked trajectories of system states are very well and smooth without drastically shock. The stability analysis shows that uniformly ultimately bounded of the closed-loop system can be guaranteed. Simulation results demonstrate the effectiveness of the approach.

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