基于两步线性回归的状态空间模型建立与验证

The state-space models based on two-step linear regression method

  • 摘要: 利用三角翼纵向俯仰运动以及横向偏航运动的“同相”、“反相”导数以及动态实验数据,建立了基于两步回归法的状态空间模型,并与动态实验数据进行比较,验证了模型的准确性,表明所建立的状态空间模型能准确的描述三角翼大迎角非线性、非定常的气动力特性。在此基础上,完成了某飞机模型的小振幅动态实验,计算了该飞机的“同相”、“反相”导数,建立了状态空间模型,并对状态空间模型进行了参数估计。所得建模结果与动态实验数据相比,变化趋势一致,基本反映了飞机大迎角动态气动特性。但如果要用于飞行仿真分析,还需要对复杂外型飞行器的状态空间模型进行深入研究。

     

    Abstract: With the “in-phase” and the “out-of-phase” derivatives of the aerodynamic coefficient for pitching and yawing motion of a delta wing, the state space models based on two-step linear regression method are established. The accuracy of the model are also compared and verified with the experimental data. It shows that the established models can describe the nonlinear and unsteady aerodynamic characteristics of a delta wing at high angles of attack. The relative simple models which are based on the physical meaning of the actual flow contain more nonlinear characteristics. In addition, wind tunnel small amplitude dynamic test data of the plane model are acquired to estimate parameters of the state-space model. It shows that the result of the state-space model is consistent with and the experiment data and most of the data are coincidence basically. However, there are some differences between them. Therefore, the establishment of the state-space model for a specific plane still needs to discuss further.

     

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