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)


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.


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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Zhu, Z. H.: Thrust Vector Control Servo System. Beijing, Astronautics press (1995)Google Scholar
  2. 2.
    Wang, Z. L.: Control on Modern Electrical and Hydraulic Servo. Beijing, Beijing University of Aeronautics and Astronautics press (2004)Google Scholar
  3. 3.
    Hung, J. Y., Gao, W. B., Hung, J. C.: Variable Structure Control: A Survey. IEEE Trans. Ind. Electron., Vol. 40, No.2 (1993) 2–22CrossRefGoogle Scholar
  4. 4.
    A. G. Mohamed: Variable Structure Control for Electro-hydraulic Position Servo System. The 27th Annual Conference of the IEEE Industrial Electronics Society (2001) 2195–2198Google Scholar
  5. 5.
    Liu, Y. F., Dong, D.: Research on Variable Structure Robust Control for Electro-hydraulic Servo System. Journal of Second Artillery Engineering Institute, Vol. 19, No.4(2005) 12–14MathSciNetGoogle Scholar
  6. 6.
    Duan, S. L., An, G. C.: Adaptive Sliding Mode Control for Electro-hydraulic Servo Force Control Systems. Chinese Journal of Mechanical Engineering, Vol.38. No.5 (2002) 109–113CrossRefGoogle Scholar
  7. 7.
    Ha, Q. P., Nguyen, Q. H.: Fuzzy Sliding Mode Controllers with Applications. IEEE Transactions on industrial electronics, Vol.48. No.1 (2001) 38–46CrossRefGoogle Scholar
  8. 8.
    Mihajlov, M., Nikolic, V., Antic, D.: Position Control of an Electro-hydraulic Servo System Using Mode Control Enhanced by Fuzzy PI Controller. Mechanical Engineering, Vol.1. No.9 (2002) 1217–1230Google Scholar
  9. 9.
    Liu, Y. F., Miao, D.: 1553B BUS and Its Application in Electro-hydraulic Servo System. Machine Tool & Hydraulics, Vol.38. No.9 (2004) 106–108Google Scholar
  10. 10.
    Karakasoglu, A., Sundareshan, M. K.: A Recurrent Neural Network-based Adaptive Variable Structure Model Following Control of Robotic Manipulators. Automatica, Vol. 31. No.5 (1995) 1495–1507zbMATHMathSciNetCrossRefGoogle Scholar
  11. 11.
    Wang, Y. N.: Intelligent Control Engineering for Robots, Beijing, Science Press (2004)Google Scholar

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

Personalised recommendations