基于误差累积因子的高超声速飞行器渐进控制

doi:10.7527/S1000-6893.2024.30745

Abstract

Abstract:

Aiming at the trajectory tracking problem of hypersonic flight vehicle， an asymptotic adaptive control method based on error accumulation factor is studied. This paper investigates the problem of asymptotic tracking control of hypersonic flight vehicle with unknown model. Considering the model unknown， the traditional intelligent control algorithm based on the neural network/fuzzy system can achieve stable tracking of the expected instructions by reconstructing and compensating for the unknown dynamics in the model， but it cannot obtain accurate tracking results due to the existence of reconstruction errors. To solve the problem of asymptotic tracking control of hypersonic flight vehicle with unknown model， a Modified Lyapunov Function （MLF） is constructed by introducing the concept of error accumulation factor， and a new fuzzy adaptive control algorithm is designed based on the MLF. By ensuring the boundedness of the modified Lyapunov function， the algorithm can achieve asymptotic tracking without extra processing of the fuzzy reconstruction error. The stability of the closed-loop system is proved by means of the Lyapunov stability theory， and the effectiveness of the control algorithm proposed is verified by comparison with the simulation results.

Key words: hypersonic flight vehicle, error accumulation factor, asymptotic control, reconstruction error, adaptive control

CLC Number:

V249.1

Shuai LIANG, Guangle GAO, Xiaolei QU, Yajun LI. Asymptotic control of hypersonic flight vehicle based on error accumulation factor[J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(S1): 730745.

Figures/Tables 12

Fig.1

Table 1

Uncertainty deviation setting of model parameters

参数	情况2	情况3
$S$	+ $5 %$	- $10 %$
$c ¯$	+ $5 %$	+ $10 %$
$ρ$	+ $5 %$	- $10 %$
$m$	- $5 %$	+ $10 %$
$I y y$	- $5 %$	- $10 %$
$C M α$	- $5 %$	+ $10 %$

Table 1

Fig.2

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Asymptotic control of hypersonic flight vehicle based on error accumulation factor

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