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
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(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)

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E-mail: maoqi1118@tju.edu.cn.

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V448.2

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国家自然科学基金项目(61673294);系统控制与信息处理教育部重点实验室开放课题基金项目(Scip201608).


Adaptive fuzzy control for air-breathing hypersonic vehicle with variable geometry inlet based on nonlinear disturbance observer
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(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)

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    摘要:

    可移动唇罩式变几何进气道高超声速飞行器是指飞行器发动机前端设有一个能沿着来流方向前后平移的唇罩,从而能够实现飞行器的最大气流捕获,以提高发动机的机动性能.针对变几何进气道飞行器强非线性以及存在参数不确定性等特点,提出一种基于非线性干扰观测器的自适应模糊控制策略.首先,基于反步思想将变几何进气道飞行器模型分解为速度子系统和高度子系统,并将其转化为严反馈形式控制系统;其次,利用模糊逻辑系统并结合自适应技术在线逼近模型参数不确定项;再次,采用非线性干扰观测器补偿模糊系统逼近误差和飞行器建模误差;最后,通过仿真结果表明所设计的控制器能对飞行器速度和高度参考指令实现准确、稳定地跟踪,并验证了变几何进气道飞行器的优势.

    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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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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  • 在线发布日期: 2019-07-12
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