Sliding Mode Predictive Control Method for Attitude Control of Networked Launch Vehicle

Abstract:

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A novel adaptive fuzzy sliding mode predictive control (AFSMPC) method for solving the networked launch vehicle attitude control system with network-induced delay, uncertain parameters and outer disturbances is proposed in this paper for the attitude stabilization of the networked launch vehicle control system. The proposed sliding mode surface includes a predictor to compensate for the network-induced delay of the NCS. Then, for the networked Launch vehicle attitude control system with uncertain parameters and outer disturbances, a total sliding-mode control system is proposed, which is designed without the reaching phase of a conventional sliding-mode control. In order to attenuate the chattering phenomena brought by the proposed control, a fuzzy logic system is designed to mimic the good behavior of a total sliding-mode predictive control system. Finally, Simulation results show that the proposed control scheme is effective.

Info:

Periodical:

Key Engineering Materials (Volumes 467-469)

Edited by:

Dehuai Zeng

Pages:

962-967

DOI:

10.4028/www.scientific.net/KEM.467-469.962

Citation:

Y. Chen et al., "Sliding Mode Predictive Control Method for Attitude Control of Networked Launch Vehicle", Key Engineering Materials, Vols. 467-469, pp. 962-967, 2011

Online since:

February 2011

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Price:

$35.00

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