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

Abstract:

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.

• Periodical: Key Engineering Materials (Volumes 467-469)
• Pages: 962-967
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.467-469.962
• Online since: February 2011
• Authors: Yu Chen, Guang Li, Chao Yang Dong, Qing Wang
• Keywords: Attitude Control, Fault Tolerant Control, Fuzzy Control, Global Sliding Mode Control

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