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HOSVD-based LPV modeling and mixed robust H2/H control design for air-breathing hypersonic vehicle

机译:基于HOSVD的LPV建模和呼吸超音速飞行器混合鲁棒H 2 / H 控制设计

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摘要

This paper focuses on synthesizing a mixed robust H/H linear parameter varying (LPV) controller for the longitudinal motion of an air-breathing hypersonic vehicle via a high order singular value decomposition (HOSVD) approach. The design of hypersonic flight control systems is highly challenging due to the enormous complexity of the vehicle dynamics and the presence of significant uncertainties. Motivated by recent results on both LPV control and tensor-product (TP) model transformation approach, the velocity and altitude tracking control problems for the air-breathing hypersonic vehicle is reduced to that of a state feedback stabilizing controller design for a polytopic LPV system with guaranteed performances. The controller implementation is converted into a convex optimization problem with parameter-dependent linear matrix inequalities (LMIs) constraints, which is intuitively tractable using LMI control toolbox. Finally, numerical simulation results demonstrate the effectiveness of the proposed approach.
机译:本文着重于通过高阶奇异值分解(HOSVD)方法合成用于空气呼吸超音速飞行器纵向运动的混合鲁棒H / H线性参数变化(LPV)控制器。高超音速飞行控制系统的设计由于车辆动力学的巨大复杂性和存在重大不确定性而极富挑战性。受LPV控制和张量乘积(TP)模型转换方法的最新研究结果的启发,用于呼吸高超音速飞行器的速度和高度跟踪控制问题已被简化为具有LPV的多位置LPV系统的状态反馈稳定控制器设计。保证性能。控制器的实现被转换为具有参数相关的线性矩阵不等式(LMI)约束的凸优化问题,使用LMI控制工具箱可以直观地解决该问题。最后,数值仿真结果证明了该方法的有效性。

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