Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (6): 1327-1331.doi: 10.3969/j.issn.1001-506X.2011.06.25

• 制导、导航与控制 • 上一篇    下一篇

高超声速飞行器的LPV鲁棒变增益控制

秦伟伟1,2,郑志强1,刘刚2,马建军1,李文强3   

  1. 1. 国防科学技术大学机电工程与自动化学院, 湖南 长沙 410073; 
    2. 第二炮兵工程学院自动控制系, 陕西 西安 710025; 3. 海军航空工程学院控制工程系, 山东 烟台 264001
  • 出版日期:2011-06-20 发布日期:2010-01-03

Robust variable gain control for hypersonic vehicles based on LPV

QIN Wei-wei1,2, ZHENG Zhi-qiang1, LIU Gang2, MA Jian-jun1, LI Wen-qiang3   

  1. 1. College of Machtronics and Automation, National University of Defense Technology, Changsha 410073, China;
    2. Department of Automatic Control, The Second Artillery Engineering Institute, Xi’an 710025, China;
    3. Department of Control Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China
  • Online:2011-06-20 Published:2010-01-03

摘要:

针对高超声速飞行器复杂的气动特性和严重参数不确定的纵向非线性模型,提出了一种基于线性变参数(linear parameter varying, LPV)的鲁棒变增益控制方法。首先,采用雅克比线性化方法将非线性系统LPV化,并结合张量积(tensor-product, T-P)模型转换方法进行LPV系统的多胞变换,得到LPV多胞系统;然后,采用H鲁棒控制和增益调度策略设计了鲁棒变增益控制器,保证高超声速飞行器的纵向稳定。该方法不仅避免了复杂的非线性控制器设计过程,而且能够有效地抑制模型参数变化。仿真结果验证了算法的有效性。

Abstract:

For the complicated aerodynamics characteristic and severely parameters uncertainty of nonlinear longitudinal model of a hypersonic vehicle, a novel robust variable gain controller design methodology based on linear parameter varying (LPV) is developed. Firstly, the nonlinear model is transformed into a LPV form by Jacobian linearization of nonlinear plant. And then the polytopic decomposition of the LPV model is obtained by a tensor-product (T-P) model transformation method. So the robust variable gain controller is designed, combined with  H robust control and gain scheduling, to provide the longitudinal stability for the hypersonic vehicle. The proposed method can not only avoid the complex design process of nonlinear methods, but also restrain the effects of model parameters change in complicated fight conditions. The digital simulation results prove the availability of the proposed method.