Research on the Selection Method of PFC Parameters

Bi Wu; Boxin Hu; Haibo Ji; Hongbin Deng; Kuo Hao; Shuzhao Chen

doi:10.1007/978-981-99-0479-2_20

Research on the Selection Method of PFC Parameters

Bi Wu, Boxin Hu^*, Haibo Ji, Hongbin Deng, Kuo Hao, Shuzhao Chen

^*Corresponding author for this work

School of Mechatronical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In recent years, reusable launch vehicles have developed vigorously. The predictive function control (PFC) method provides a solution that can overcome the problems of strong nonlinearity, high dynamics and strong interference. However, there are some parameters in the PFC algorithm that need to be selected based on experience, which is not conducive to controller design. Aiming at the problem of PFC parameter selection, this paper proposes a parameter selection method based on the coefficient diagram method (CDM) and Manabe standard type, fully analyzes and verifies the effectiveness and reliability of the method, and provides a certain basis for the selection of PFC control parameters. The proposed method makes parameters selection of PFC more reliable and convenient.

Original language	English
Title of host publication	Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022
Editors	Wenxing Fu, Mancang Gu, Yifeng Niu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	214-222
Number of pages	9
ISBN (Print)	9789819904785
DOIs	https://doi.org/10.1007/978-981-99-0479-2_20
Publication status	Published - 2023
Event	International Conference on Autonomous Unmanned Systems, ICAUS 2022 - Xi'an, China Duration: 23 Sept 2022 → 25 Sept 2022

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1010 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Autonomous Unmanned Systems, ICAUS 2022
Country/Territory	China
City	Xi'an
Period	23/09/22 → 25/09/22

Keywords

Coefficient diagram method
Manabe standard type
Predictive function control
Reusable launch vehicles

Access to Document

10.1007/978-981-99-0479-2_20

Cite this

Wu, B., Hu, B., Ji, H., Deng, H., Hao, K., & Chen, S. (2023). Research on the Selection Method of PFC Parameters. In W. Fu, M. Gu, & Y. Niu (Eds.), Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022 (pp. 214-222). (Lecture Notes in Electrical Engineering; Vol. 1010 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-0479-2_20

@inproceedings{7abceb6f362d411196c21550b5522c7c,

title = "Research on the Selection Method of PFC Parameters",

abstract = "In recent years, reusable launch vehicles have developed vigorously. The predictive function control (PFC) method provides a solution that can overcome the problems of strong nonlinearity, high dynamics and strong interference. However, there are some parameters in the PFC algorithm that need to be selected based on experience, which is not conducive to controller design. Aiming at the problem of PFC parameter selection, this paper proposes a parameter selection method based on the coefficient diagram method (CDM) and Manabe standard type, fully analyzes and verifies the effectiveness and reliability of the method, and provides a certain basis for the selection of PFC control parameters. The proposed method makes parameters selection of PFC more reliable and convenient.",

keywords = "Coefficient diagram method, Manabe standard type, Predictive function control, Reusable launch vehicles",

author = "Bi Wu and Boxin Hu and Haibo Ji and Hongbin Deng and Kuo Hao and Shuzhao Chen",

note = "Publisher Copyright: {\textcopyright} 2023, Beijing HIWING Sci. and Tech. Info Inst.; International Conference on Autonomous Unmanned Systems, ICAUS 2022 ; Conference date: 23-09-2022 Through 25-09-2022",

year = "2023",

doi = "10.1007/978-981-99-0479-2_20",

language = "English",

isbn = "9789819904785",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "214--222",

editor = "Wenxing Fu and Mancang Gu and Yifeng Niu",

booktitle = "Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022",

address = "Germany",

}

Wu, B, Hu, B, Ji, H, Deng, H, Hao, K & Chen, S 2023, Research on the Selection Method of PFC Parameters. in W Fu, M Gu & Y Niu (eds), Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022. Lecture Notes in Electrical Engineering, vol. 1010 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 214-222, International Conference on Autonomous Unmanned Systems, ICAUS 2022, Xi'an, China, 23/09/22. https://doi.org/10.1007/978-981-99-0479-2_20

Research on the Selection Method of PFC Parameters. / Wu, Bi; Hu, Boxin; Ji, Haibo et al.
Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022. ed. / Wenxing Fu; Mancang Gu; Yifeng Niu. Springer Science and Business Media Deutschland GmbH, 2023. p. 214-222 (Lecture Notes in Electrical Engineering; Vol. 1010 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on the Selection Method of PFC Parameters

AU - Wu, Bi

AU - Hu, Boxin

AU - Ji, Haibo

AU - Deng, Hongbin

AU - Hao, Kuo

AU - Chen, Shuzhao

PY - 2023

Y1 - 2023

N2 - In recent years, reusable launch vehicles have developed vigorously. The predictive function control (PFC) method provides a solution that can overcome the problems of strong nonlinearity, high dynamics and strong interference. However, there are some parameters in the PFC algorithm that need to be selected based on experience, which is not conducive to controller design. Aiming at the problem of PFC parameter selection, this paper proposes a parameter selection method based on the coefficient diagram method (CDM) and Manabe standard type, fully analyzes and verifies the effectiveness and reliability of the method, and provides a certain basis for the selection of PFC control parameters. The proposed method makes parameters selection of PFC more reliable and convenient.

AB - In recent years, reusable launch vehicles have developed vigorously. The predictive function control (PFC) method provides a solution that can overcome the problems of strong nonlinearity, high dynamics and strong interference. However, there are some parameters in the PFC algorithm that need to be selected based on experience, which is not conducive to controller design. Aiming at the problem of PFC parameter selection, this paper proposes a parameter selection method based on the coefficient diagram method (CDM) and Manabe standard type, fully analyzes and verifies the effectiveness and reliability of the method, and provides a certain basis for the selection of PFC control parameters. The proposed method makes parameters selection of PFC more reliable and convenient.

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KW - Manabe standard type

KW - Predictive function control

KW - Reusable launch vehicles

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