Sliding Mode Control for Missile Electro-hydraulic Servo System Using Recurrent Fuzzy Neural Network

Authors:
Huafeng He;Yunfeng Liu;Xiaogang Yang
Affiliations:
Xi'an Research Inst. Of High-tech, Hongqing Town 710025, China;Xi'an Research Inst. Of High-tech, Hongqing Town 710025, China;Xi'an Research Inst. Of High-tech, Hongqing Town 710025, China
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Year:
2007

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Abstract

The position tracking control of a missile electro-hydraulic servo system is studied. Since the dynamics of the system are highly nonlinear and have large extent of model uncertainties, such as big changes in parameters and external disturbance, a design method of sliding mode control (SMC) using recurrent fuzzy neural network (RFNN) is proposed. First a SMC system, which is insensitive to uncertainties including parameter variations and external disturbance, is introduced. Then, to overcome the problems with SMC, such as the assumption of known uncertainty bounds and the chattering phenomena in the control signal, an RFNN is introduced in conventional SMC. An RFNN bound observer is utilized to adjust the uncertainty bounds in real time. Simulation results verify the validity of the proposed approach.