• Electronics Optics & Control
  • Vol. 25, Issue 8, 74 (2018)
SONG Xiaona, LIU Kai, and SONG Shuai
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2018.08.015 Cite this Article
    SONG Xiaona, LIU Kai, SONG Shuai. Neural Network Controller Design for Missil Compound Control System[J]. Electronics Optics & Control, 2018, 25(8): 74 Copy Citation Text show less

    Abstract

    An adaptive neural network control method based on sliding mode control is proposed for the reaction-jet/aerodynamic compound control system of the missile. Firstly, to improve the stability of the missile, the aerodynamic part is designed by using sliding mode control, and the adaptive neural network control algorithm is used to eliminate the error in system modeling, so that the stability of missile overloading can be improved.Secondly, the variable structure method is adopted to design the reaction-jet part to improve the response speed of the missile.Meanwhilethe fuzzy control method is used to reduce the buffeting problem caused by the variable structure control, so that the stability of the missile can be further improved.The experimental results show that the proposed control method can effectively improve the response speed of the missile, and improve the stability and overload capacity of the missile. Therefore, the effectiveness of this method is verified.
    SONG Xiaona, LIU Kai, SONG Shuai. Neural Network Controller Design for Missil Compound Control System[J]. Electronics Optics & Control, 2018, 25(8): 74
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