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Sliding Mode Control Based on Fuzzy Neural Network for Missile Electro-hydraulic Servo Mechanism

  • Chunlai Yu
  • Hualong Xu
  • Yunfeng Liu
  • Shiqi Huang
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 344)

Abstract

The position tracking control of a missile electro-hydraulic servo Mechanism 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) based on fuzzy neural network (FNN) is proposed. A FNN is introduced in conventional SMC, which uses the dynamical back propagation (BP) algorithm to ensure the existing condition of SMC. The chattering brought by sliding mode switch control can be effectively attenuated, without sacrificing the robustness of SMC. Simulation results verify the validity of the proposed approach.

Keywords

Tracking Error External Disturbance Fuzzy Neural Network Servo Mechanism Variable Structure Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chunlai Yu
    • 1
  • Hualong Xu
    • 1
  • Yunfeng Liu
    • 1
  • Shiqi Huang
    • 1
  1. 1.302 BranchXi’an Research Inst. Of High-techHongqing TownChina

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