计算机应用 ›› 2011, Vol. 31 ›› Issue (06): 1723-1726.DOI: 10.3724/SP.J.1087.2011.01723

• 典型应用 • 上一篇    下一篇

基于随机鲁棒设计的高超音速飞行器线性二次型控制

谭毅伦,闫杰   

  1. 西北工业大学 航天学院,西安 710072
  • 收稿日期:2010-11-25 修回日期:2011-01-17 发布日期:2011-06-20 出版日期:2011-06-01
  • 通讯作者: 谭毅伦
  • 作者简介:谭毅伦(1980-),男,江西景德镇人,博士研究生,主要研究方向:飞行器导航、制导与控制;闫杰(1960-),男,北京人,教授,博士生导师,主要研究方向:飞行控制与仿真。

Linear quadratic control based on stochastic robustness design for hypersonic vehicles

TAN Yilun,YAN Jie   

  1. School of Astronautics, Northwestern Polytechnical University, Xian Shaanxi 710072, China
  • Received:2010-11-25 Revised:2011-01-17 Online:2011-06-20 Published:2011-06-01
  • Contact: TAN Yilun

摘要: 针对高超音速飞行器具有高度非线性、输入输出之间强耦合以及参数不确定等特点,提出了基于随机鲁棒设计的线性二次型控制。这一控制方案基于系统控制需求,利用蒙特卡罗仿真方法建立随机鲁棒目标函数,并通过遗传算法优化控制系统设计参数。该控制方案保证了飞行的纵向稳定性,改善了其控制性能。基于某常规高超音速飞行器纵向模型进行仿真验证,结果表明该方案能够满足系统控制需求且具有强鲁棒性。

关键词: 高超音速飞行器, 线性二次型控制, 随机鲁棒性, 蒙特卡罗估计, 遗传算法

Abstract: A linear quadratic control method based on stochastic robustness design was proposed according to the features that hypersonic vehicle model is highly nonlinear,input/output have strong coupling without certain parameters. This control scheme is based on system control requirements, using Monte Carlo simulation method to establish stochastic robustness cost function, and adopting genetic algorithm to optimize the control system design parameters. This formulation can ensure the longitudinal flight stability and improve the control performance of hypersonic vehicles. The controller was demonstrated in closed loop simulations based on an existing longitudinal hypersonic vehicle model. The simulation results show that the controller successfully tracks the reference trajectories, meets the system needs and has strong robustness.

Key words: hypersonic vehicle, linear quadratic control, stochastic robustness, Monte Carlo Evaluation (MCE), Genetic Algorithm (GA)

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