宇航学报

宇航学报 ›› 2019, Vol. 40 ›› Issue (12): 1422-1430.doi: 10.3873/j.issn.1000-1328.2019.12.005

• 制导、导航、控制与电子 • 上一篇    下一篇

一类强耦合强不确定性强非线性快时变系统复合控制

孔雪，宁国栋，杨明，王松艳，晁涛   

  1. 1. 哈尔滨工业大学航天学院控制与仿真中心，哈尔滨 150080；2. 复杂系统控制与智能协同技术重点实验室，
    北京 100074；3. 北京机电工程研究所，北京 100074
  • 收稿日期:2018-10-23 修回日期:2019-01-29 出版日期:2019-12-15 发布日期:2019-12-25
  • 基金资助:
    国家自然科学基金（61627810，61790562，61403096）

Composite Control for a Class of Strong Coupling/Strong Uncertainty/Strong Nonlinearity and Fast Time Varying Systems

KONG Xue, NING Guo dong, YANG Ming, WANG Song yan, CHAO Tao   

  1. 1. Control and Simulation Center, School of Astronautics, Harbin Institute of Technology, Harbin 150080, China;
    2. Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing 100074, China;
    3. Beijing Institute of Mechanical and Electrical Engineering, Beijing 100074, China
  • Received:2018-10-23 Revised:2019-01-29 Online:2019-12-15 Published:2019-12-25

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摘要： 分析一类强耦合强不确定性强非线性快时变系统的控制问题。基于系统力学特性和动力学特性，提出一种复合控制方法。该复合控制方法由三个核心模块组成，依次为强耦合强不确定性控制模块、强非线性快时变控制模块、智能调度模块。以某典型强耦合强不确定性强非线性快时变特性飞行器对象为例，给出了采用该复合控制方法的详细设计。最后，在精确的仿真模型基础上，考虑天地不一致性情况，进行了多组仿真分析，仿真结果表明，该方法有效、可靠。

关键词: 强耦合, 强不确定性, 强非线性, 快时变, 复合控制

Abstract: The control problem for a class of systems, which have characteristics of strong coupling, strong uncertainty, and strong nonlinearity as well as fast time-varying, is analyzed. Based on the dynamic characteristics, a compound control strategy is presented. The composite control method consists of three core modules, namely, strong coupling and strong uncertainty module, strong nonlinearity and fast time-varying module, and intelligent scheduling module. Taking a typical vehicle with four strong characteristics as an example, the detailed design of the composite control method is given. Finally, based on the precise simulation model, considering the inconsistencies between flight and ground test, the simulation analysis is carried out. The simulation results show that the method is effective and reliable.

Key words: Strong coupling, Strong uncertainty, Strong nonlinearity, Fast time-varying, Compound control

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