弹性高超声速滑翔飞行器的状态/参数联合估计

doi:10.7527/S1000-6893.2019.22992

Abstract

Abstract: It is essentially to jointly estimate the state and parameter of flexible hypersonic vehicles due to its nonlinearity, uncertainty, and rigid/elastic coupling. To solve these problems, a sensor placement strategy and a Moving Horizon Estimation with arrival cost updated by QR decomposition (MHE-QR) are proposed. First, the influence of sensor placement on observability is analyzed, based on which a performance index is proposed. Using this performance index, the sensor placement problem is transformed into a constrained optimization problem. The sensor placement scheme is obtained by solving this optimization problem. Utilizing the dynamic programming principle, the MHE-QR algorithm transforms the arrival cost update problem into a least square problem that is solved by QR decomposition in the framework of MHE. The Monte Carlo simulation results demonstrate that the sensor placement strategy and the MHE-QR algorithm can effectively improve the estimation accuracy, convergence speed, and computation rate. Additionally, the CPU time validate the real-time applicability of MHE-QR.

Key words: flexibility, hypersonic glide vehicle, sensor placement, state estimation, parameter estimation, moving horizon estimation

CLC Number:

V249.3
TN713

CHEN Erkang, JING Wuxing, GAO Changsheng. State/parameter joint estimation for flexible hypersonic glide vehicles[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2019, 40(8): 322992-322992.

References 23

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State/parameter joint estimation for flexible hypersonic glide vehicles

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