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Asymptotic control of hypersonic flight vehicle based on error accumulation factor
Received date: 2024-05-29
Revised date: 2024-06-11
Accepted date: 2024-07-03
Online published: 2024-07-22
Supported by
National Natural Science Foundation of China(42404014)
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.
Shuai LIANG , Guangle GAO , Xiaolei QU , Yajun LI . Asymptotic control of hypersonic flight vehicle based on error accumulation factor[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2024 , 45(S1) : 730745 -730745 . DOI: 10.7527/S1000-6893.2024.30745
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