Robust approximate optimal control for air‐breathing hypersonic vehicle
Robust approximate optimal control for air‐breathing hypersonic vehicle
复制标题
吸气式高超声速飞行器鲁棒近似最优控制
DOI：
10.1002/rnc.6587
复制
发表时间：
--
影响因子：
3.9
通讯作者：
Zhongtao Cheng
中科院分区：
文献类型：
--
作者：
Xiao Han;Lei Liu;Huijin Fan;Zhongtao Cheng
本文研究了吸气式高超声速飞行器（AHV）的鲁棒近似最优控制问题。通过输入输出线性化和引入辅助变量，将高阶非线性 AHV 动力学转化为二阶反馈解耦模型。然后通过反步策略设计虚拟指令以保证跟踪误差的实际有限时间收敛。为了驱动具有不确定性的AHV遵循虚拟指令，提出了一种基于自适应动态规划（ADP）的鲁棒近似最优控制器。与传统的鲁棒方法不同，所提出的控制器同时考虑了鲁棒性和输入成本，可以优化控制动作，从而避免抖振。此外，所提出的控制器采用单一批评者网络设计而不是行动者批评者结构，这保证了系统自主的稳定性并简化了实现过程。仿真结果表明了该方案的有效性。
This paper investigates the robust approximate optimal control problem for air‐breathing hypersonic vehicle (AHV). By input‐output linearzation and introducing auxiliary variables, the high‐order nonlinear AHV dynamics are transformed to a second‐order feedback decoupling model. Then a virtual command is designed by back‐stepping strategy to guarantee the practical finite‐time convergence of tracking error. In order to drive the AHV with uncertainties to follow the virtual command, a robust approximate optimal controller based on adaptive dynamic programming (ADP) is proposed. Different from the conventional robust method, both the robustness and the input cost are taken into consideration in the proposed controller, which can optimize the control actions and hence avoid the chattering. Besides, the proposed controller adopts a single critic network design instead of actor‐critic structure, which ensures the stability of the system autonomously and simplifies the implementation procedure. The simulation results show the effectiveness of the proposed scheme.