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Your search keyword '"Zhang, Youmin"' showing total 2 results
Start Over Author "Zhang, Youmin" Topic aerodynamics Topic closed loop systems
2 results on '"Zhang, Youmin"'

1. Adaptive Discrete-Time Flight Control Using Disturbance Observer and Neural Networks.

Author

Shao, Shuyi, Chen, Mou, and Zhang, Youmin

Subjects
*DISCRETE-time systems, *DRONE aircraft, *FLIGHT, *CLOSED loop systems
Abstract

This paper studies the adaptive neural control (ANC)-based tracking problem for discrete-time nonlinear dynamics of an unmanned aerial vehicle subject to system uncertainties, bounded time-varying disturbances, and input saturation by using a discrete-time disturbance observer (DTDO). Based on the approximation approach of neural network, system uncertainties are tackled approximately. To restrain the negative effects of bounded disturbances, a nonlinear DTDO is designed. Then, a backstepping technique-based ANC strategy is proposed by utilizing a constructed auxiliary system and a discrete-time tracking differentiator. The boundness of all signals is proven in the closed-loop system under the discrete-time Lyapunov analysis. Finally, the feasibility of the proposed ANC technique is further specified based on numerical simulation results. [ABSTRACT FROM AUTHOR]

Published
2019
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2. Adaptive backstepping control for air-breathing hypersonic vehicles with input nonlinearities.

Author

Hu, Qinglei, Meng, Yao, Wang, Chenliang, and Zhang, Youmin

Subjects
*ADAPTIVE control systems, *HYPERSONIC planes, *NONLINEAR theories, *AERODYNAMICS, *CLOSED loop systems
Abstract

This paper addresses the control problem of air-breathing hypersonic vehicles subject to input nonlinearities, aerodynamic uncertainties and flexible modes. An adaptive backstepping controller and a dynamic inverse controller are developed for the altitude subsystem and the velocity subsystem, respectively, where the former eliminates the problem of “explosion of terms” inherent in backstepping control. Moreover, a modified smooth inverse of the dead-zone is proposed to compensate for the dead-zone effects and reduce the computational burden. Based on this smooth inverse, an input nonlinear pre-compensator is designed to handle input saturation and dead-zone nonlinearities, which leads to a simpler control design for the altitude subsystem subject to these two input nonlinearities. It is proved that the proposed controllers can guarantee that all closed-loop signals are bounded and the tracking errors converge to an arbitrarily small residual set. Simulation results are carried out to demonstrate the effectiveness of the proposed control scheme. [ABSTRACT FROM AUTHOR]

Published
2018
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