SCIENCE CHINA Information Sciences, Volume 60, Issue 3: 032203(2017) https://doi.org/10.1007/s11432-016-0169-8

## ${\mathcal{L}}_{1}$ adaptive control of a generic hypersonic vehicle model with a blended pneumatic and thrust vectoring control strategy

• AcceptedJun 13, 2016
• PublishedDec 9, 2016
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### Abstract

The extreme aeroheating at hypersonic regime and the insufficient dynamic pressure in the near space limit the achievable performance of the hypersonic vehicles using aerosurfaces alone. In this paper, an integrated pneumatic and thrust vectoring control strategy is employed to design a control scheme for the longitudinal dynamics of a hypersonic vehicle model. The methodology reposes upon a division of the model dynamics, and an ${\mathcal{L}}_{1}$ adaptive control architecture is applied to the design of the inner-loop and outer-loop controllers. Further, a control allocation algorithm is developed to coordinate pneumatic and thrust vectoring control. Simulation results demonstrate that the allocation algorithm is effective in control coordination, and the proposed control scheme achieves excellent tracking performance in spite of aerodynamic uncertainties.

• Figure 1

Conceptual block diagram of the proposed control scheme.

• Figure 2

Interconnection of the ${\mathcal{L}}_{1}$ adaptive control scheme.

• Figure 3

Reference trajectories. (a) $V_{\rm r}$; (b) $\gamma_r$.

• Figure 4

Tracking errors of the proposed control scheme. (a) Tracking error $V-V_{\rm r}$; (b) tracking error $\gamma-\gamma_r$.

• Figure 5

Control inputs of the proposed controller. (a) Control input $\beta$; (b) control input $\delta_{\rm e}$; (c) control input $\phi$.

• Figure 6

Tracking error plots. (a) $V$ tracking error; (b) $\gamma$ tracking error.

• Figure 7

Simulation results of the second test case study. (a) Control input $\delta_{\rm e}$; (b) control input $\phi$; (c) angular state $q$; (d) angular state $\alpha$; (e) dynamic pressure $\bar{q}$; (f) altitude $h$.

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