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

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...

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Main Authors: Chao Ou, Chengjun Shan, Zhongtao Cheng, Yaosong Long
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/9/2160
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author Chao Ou
Chengjun Shan
Zhongtao Cheng
Yaosong Long
author_facet Chao Ou
Chengjun Shan
Zhongtao Cheng
Yaosong Long
author_sort Chao Ou
collection DOAJ
description 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.
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spelling doaj.art-e275d9cd4d2c443ba0247b60ea7351432023-11-17T23:20:47ZengMDPI AGMathematics2227-73902023-05-01119216010.3390/math11092160Adaptive Trajectory Tracking Algorithm for the Aerospace Vehicle Based on Improved T-MPSPChao Ou0Chengjun Shan1Zhongtao Cheng2Yaosong Long3School of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaTo 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.https://www.mdpi.com/2227-7390/11/9/2160trajectory trackinguncertaintyextended kalman filteradaptivecontrol constraintsT-MPSP
spellingShingle Chao Ou
Chengjun Shan
Zhongtao Cheng
Yaosong Long
Adaptive Trajectory Tracking Algorithm for the Aerospace Vehicle Based on Improved T-MPSP
Mathematics
trajectory tracking
uncertainty
extended kalman filter
adaptive
control constraints
T-MPSP
title Adaptive Trajectory Tracking Algorithm for the Aerospace Vehicle Based on Improved T-MPSP
title_full Adaptive Trajectory Tracking Algorithm for the Aerospace Vehicle Based on Improved T-MPSP
title_fullStr Adaptive Trajectory Tracking Algorithm for the Aerospace Vehicle Based on Improved T-MPSP
title_full_unstemmed Adaptive Trajectory Tracking Algorithm for the Aerospace Vehicle Based on Improved T-MPSP
title_short Adaptive Trajectory Tracking Algorithm for the Aerospace Vehicle Based on Improved T-MPSP
title_sort adaptive trajectory tracking algorithm for the aerospace vehicle based on improved t mpsp
topic trajectory tracking
uncertainty
extended kalman filter
adaptive
control constraints
T-MPSP
url https://www.mdpi.com/2227-7390/11/9/2160
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AT chengjunshan adaptivetrajectorytrackingalgorithmfortheaerospacevehiclebasedonimprovedtmpsp
AT zhongtaocheng adaptivetrajectorytrackingalgorithmfortheaerospacevehiclebasedonimprovedtmpsp
AT yaosonglong adaptivetrajectorytrackingalgorithmfortheaerospacevehiclebasedonimprovedtmpsp