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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MDPI AG
2023-05-01
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Series: | Mathematics |
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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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institution | Directory Open Access Journal |
issn | 2227-7390 |
language | English |
last_indexed | 2024-03-11T04:13:39Z |
publishDate | 2023-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Mathematics |
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 |
work_keys_str_mv | AT chaoou adaptivetrajectorytrackingalgorithmfortheaerospacevehiclebasedonimprovedtmpsp AT chengjunshan adaptivetrajectorytrackingalgorithmfortheaerospacevehiclebasedonimprovedtmpsp AT zhongtaocheng adaptivetrajectorytrackingalgorithmfortheaerospacevehiclebasedonimprovedtmpsp AT yaosonglong adaptivetrajectorytrackingalgorithmfortheaerospacevehiclebasedonimprovedtmpsp |