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• W3189785809 abstract "For the continuous and smooth control of the reentry vehicle's attitude, this paper proposes a backstepping control method based on bioinspired neuro-dynamic model, in order to avoid the “parameter explosion” caused by the complicated derivative operation in the design of traditional backstepping control methods. Firstly, according to the tracking error of the system, the backstepping controller is designed based on the Lyapunov stability principle. Then inspired by biological characteristics, a neural dynamic model is introduced into the controller design process and its output virtual signal is used as a component of the controller, using the smooth response signal of the above model to realize the continuity and smoothness of the differential signal. Finally, the designed controller is simulated based on the affine nonlinear mathematical model of the reentry vehicle, by which verified that the algorithm has good closed-loop control stability and rapidity, and the control command output is continuous." @default.
• W3189785809 created "2021-08-16" @default.
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• W3189785809 date "2021-07-01" @default.
• W3189785809 modified "2023-10-18" @default.
• W3189785809 title "Backstepping Control for Reentry Vehicle Improved by Bioinspired Neuro-dynamic" @default.
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• W3189785809 doi "https://doi.org/10.1109/cacre52464.2021.9501314" @default.
• W3189785809 hasPublicationYear "2021" @default.
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