Adaptive Trajectory Tracking Algorithm for the Aerospace Vehicle Based on Improved T-MPSP

Autor:	Chao Ou, Chengjun Shan, Zhongtao Cheng, Yaosong Long
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	trajectory tracking uncertainty extended kalman filter adaptive control constraints T-MPSP Mathematics QA1-939
Zdroj:	Mathematics, Vol 11, Iss 9, p 2160 (2023)
Druh dokumentu:	article
ISSN:	2227-7390
DOI:	10.3390/math11092160
Popis:	To deal with the uncertainty and disturbance that exist in the tracking system of an aerospace vehicle, an adaptive trajectory-tracking method based on a novel tracking model predictive static programming (T-MPSP) is proposed. Firstly, to make the proposed method more adaptive to uncertain parameter deviations, an extended Kalman filter (EKF) parameter correction strategy is designed. Then, the control constraints are considered to form a novel T-MPSP algorithm. By combining the parameter correction strategy with the improved T-MPSP algorithm, a novel adaptive tracking guidance scheme is presented. Finally, simulations are carried out to demonstrate the effectiveness of the proposed method.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/e275d9cd4d2c443ba0247b60ea735143 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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