引用本文: 窦立谦,毛奇,苏沛华,等.基于非线性干扰观测器的变几何进气道飞行器自适应模糊控制[J].控制与决策,2019,34(8):1672-1680
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 本文已被：浏览次   下载次 码上扫一扫！ 分享到： 微信 更多 字体:加大+|默认|缩小- 基于非线性干扰观测器的变几何进气道飞行器自适应模糊控制 窦立谦1, 毛奇1, 苏沛华1, 胡超芳1,2 (1. 天津大学电气自动化与信息工程学院，天津300072;2. 系统控制与信息处理教育部重点实验室，上海200240)

DOI：10.13195/j.kzyjc.2018.0022

Adaptive fuzzy control for air-breathing hypersonic vehicle with variable geometry inlet based on nonlinear disturbance observer
DOU Li-qian1,MAO Qi1,SU Pei-hua1,HU Chao-fang1,2
(1. School of Electrical and Information Engineering, Tianjin University,Tianjin300072,China;2. Key Laboratory of System Control and Information Processing,Ministry of Education,Shanghai200240,China)
Abstract:
The variable geometry inlet air-breathing hypersonic vehicle(VGIAHV) with movable translating cowl refers to a vehicle that has a lip in the forefront of scramjet inlet, and it is helpful to achieve the maximum capture of air stream and dramatically improve the aerodynamic performance. Considering the characters of high nonlinearity and parameter uncertainties of VGIAHV, an adaptive fuzzy control strategy based on nonlinear disturbance observer (NDO) is proposed in this paper. Firstly, the dynamic model of the VGIAHV is decomposed as a velocity subsystem and an altitude subsystem based on the backstepping method, and it is transformed into a strict form model. Then, the fuzzy logic system (FLS) combined with the adaptive technique is introduced to approximate the uncertainty terms online. Furthermore, the nonlinear disturbance observer is employed to estimate and compensate the approximation errors of the fuzzy system and modeling errors of the vehicle. Simulation results demonstrate the effectiveness of this designed controller in tracking velocity and altitude commands of the vehicle accurately and stably, and show the advantages of the variable geometry inlet for the VGIAHV.
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