引用本文:高海燕,蔡远利,唐伟强.高超声速飞行器的调度离线预测控制[J].控制理论与应用,2015,32(2):224~230.[点击复制]
GAO Hai-yan,CAI Yuan-li,TANG Wei-qiang.Scheduled offline model predictive control for a generic hypersonic vehicle[J].Control Theory and Technology,2015,32(2):224~230.[点击复制]
高超声速飞行器的调度离线预测控制
Scheduled offline model predictive control for a generic hypersonic vehicle
摘要点击 3019  全文点击 2000  投稿时间：2014-04-23  修订日期：2014-09-19
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DOI编号  10.7641/CTA.2015.40360
  2015,32(2):224-230
中文关键词  高超声速飞行器  多模型方法  离线鲁棒预测控制  切换稳定性
英文关键词  hypersonic vehicle  multiple-model  offline robust model predictive control  switching stability
基金项目  国家自然科学基金项目(61202128, 61463029)资助.
作者单位E-mail
高海燕 西安交通大学 电子与信息工程学院 g.a.o.haiyan@stu.xjtu.edu.cn 
蔡远利* 西安交通大学 电子与信息工程学院 ylicai@mail.xjtu.edu.cn 
唐伟强 兰州理工大学 电气工程与信息工程学院  
中文摘要
      本文将调度预测控制的思想应用于离线鲁棒预测控制, 设计了高超声速飞行器计算有效的调度离线预测 控制器. 首先在不同的平衡点离线设计一系列控制规则, 实际实施时只需要在不同的控制器之间进行切换, 避免进 行在线优化, 大幅度减少了在线计算时间. 通过估计局部控制器的稳定域, 保证了切换控制器的稳定性. 另外在确 保良好控制品质的同时, 还能够保证所有输入和状态均在给定约束范围. 仿真试验表明, 提出的方法能实现速度和 高度较大范围的指令跟踪, 所有输入和状态均在给定约束范围内; 相比于在线鲁棒预测控制方法, 仿真运行时间减 少, 可以实现高超声速飞行器的实时控制.
英文摘要
      A computationally efficient scheduled offline model predictive controller is designed for a generic hypersonic vehicle with the offline robust model predictive algorithm based on the idea of the scheduled model predictive control. Local predictive controllers are firstly designed offline around different equilibrium points, and the real-time implementation includes only the simple switching among local controllers; which avoids the on-line optimization, and the on-line computation time is reduced greatly. Through estimating the stable region of the local controllers, the stability of the scheduled controller is guaranteed. Moreover, the predictive control allows the input and the state constraints to be considered explicitly in the design phase; hence, the control performance and the constraints of the input and the states are guaranteed simultaneously. Simulation results show that the altitude and the velocity can track the reference signals in a relatively large scope with the input and the states in the given ranges. Compared with the well-known online robust model predictive control, the simulation time is greatly reduced, and the desired real-time control for the hypersonic vehicle is attainable.