H-infinity control for air-breathing hypersonic vehicle based on online simultaneous policy update algorithm
H-infinity control for air-breathing hypersonic vehicle based on online simultaneous policy update algorithm
复制标题
基于在线同步策略更新算法的吸气式高超声速飞行器H无穷控制
DOI：
10.1108/ijicc-jun-2012-0031
复制
发表时间：
2013-01-01
影响因子：
4.3
通讯作者：
Guo, Lei
中科院分区：
文献类型：
--
作者：
Guo, Chao;Wu, Huai-Ning;Guo, Lei
吸气式高超声速飞行器（AHV）在推进系统和机体动力学之间存在着复杂的内在耦合，这导致了控制器设计中的一个棘手的非线性系统。本文的目的是提出一种基于在线同步策略更新算法（SPUA）的AHV的H ∞控制方法。设计/方法/途径-首先，AHV的H ∞状态反馈控制问题转化为求解Hamilton-Jacobi-Isaacs（HJI）方程的问题，这是出了名的难以解决的数值和解析。为了克服这个困难，在线SPUA被引入到解决HJI方程，而不需要精确的内部系统动力学知识。随后，在线SPUA基于演员-评论家结构实现，其中神经网络（NN）用于近似的成本函数和最小二乘法是用来计算神经网络的权重参数。结果-AHV的仿真研究表明，所提出的H ∞控制方法的有效性。独创性/价值-本文提出了一种有趣的方法，H ∞状态反馈控制设计问题的AHV基于在线SPUA。
Purpose - The air-breathing hypersonic vehicle (AHV) includes intricate inherent coupling between the propulsion system and the airframe dynamics, which results in an intractable nonlinear system for the controller design. The purpose of this paper is to propose an H infinity control method for AHV based on the online simultaneous policy update algorithm (SPUA).Design/methodology/approach - Initially, the H infinity state feedback control problem of the AHV is converted to the problem of solving the Hamilton-Jacobi-Isaacs (HJI) equation, which is notoriously difficult to solve both numerically and analytically. To overcome this difficulty, the online SPUA is introduced to solve the HJI equation without requiring the accurate knowledge of the internal system dynamics. Subsequently, the online SPUA is implemented on the basis of an actor-critic structure, in which neural network (NN) is employed for approximating the cost function and a least-square method is used to calculate the NN weight parameters.Findings - Simulation study on the AHV demonstrates the effectiveness of the proposed H infinity control method.Originality/value - The paper presents an interesting method for the H infinity state feedback control design problem of the AHV based on online SPUA.