The Design of Adaptive Integrated Guidance and Control Subjected to State Constraints and Multiple Uncertainties

Yu Bai; Tian Yan; Bingjie Han; Wenxing Fu; Yue Shen

doi:10.1109/CFASTA57821.2023.10243238

The Design of Adaptive Integrated Guidance and Control Subjected to State Constraints and Multiple Uncertainties

Yu Bai, Tian Yan, Bingjie Han, Wenxing Fu, Yue Shen

Unmanned System Research Institute

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

Abstract

This paper focuses on adaptive dynamic surface composite control subjected to state constraints and multiple uncertainties in integrated guidance and control (IGC) design for skid-to-turn missiles. The novel IGC algorithm incorporates adaptive dynamic surface composite control with the barrier Lyapunov function. Composite control in this paper takes a superior approach by introducing the estimated information of the system states from the series-parallel estimation model into the neural network under the framework of adaptive dynamic surface control to achieve composite learning, which makes the algorithm learn more accurately for system disturbance. Meanwhile, the saturation function and the barrier Lyapunov function (BLF) ensure that the system state satisfies the constraints. The effectiveness of the IGC scheme is verified by numerical simulation.

Original language	English
Title of host publication	Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	734-739
Number of pages	6
ISBN (Electronic)	9798350332162
DOIs	https://doi.org/10.1109/CFASTA57821.2023.10243238
State	Published - 2023
Event	2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023 - Qingdao, China Duration: 14 Jul 2023 → 16 Jul 2023

Publication series

Name	Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023

Conference

Conference	2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
Country/Territory	China
City	Qingdao
Period	14/07/23 → 16/07/23

Keywords

Adaptive control
Integrated guidance and control
Online composite learning
Serial-parallel estimation model

Access to Document

10.1109/CFASTA57821.2023.10243238

Cite this

Bai, Y., Yan, T., Han, B., Fu, W., & Shen, Y. (2023). The Design of Adaptive Integrated Guidance and Control Subjected to State Constraints and Multiple Uncertainties. In Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023 (pp. 734-739). (Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CFASTA57821.2023.10243238

Bai, Yu ; Yan, Tian ; Han, Bingjie et al. / The Design of Adaptive Integrated Guidance and Control Subjected to State Constraints and Multiple Uncertainties. Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 734-739 (Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023).

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title = "The Design of Adaptive Integrated Guidance and Control Subjected to State Constraints and Multiple Uncertainties",

abstract = "This paper focuses on adaptive dynamic surface composite control subjected to state constraints and multiple uncertainties in integrated guidance and control (IGC) design for skid-to-turn missiles. The novel IGC algorithm incorporates adaptive dynamic surface composite control with the barrier Lyapunov function. Composite control in this paper takes a superior approach by introducing the estimated information of the system states from the series-parallel estimation model into the neural network under the framework of adaptive dynamic surface control to achieve composite learning, which makes the algorithm learn more accurately for system disturbance. Meanwhile, the saturation function and the barrier Lyapunov function (BLF) ensure that the system state satisfies the constraints. The effectiveness of the IGC scheme is verified by numerical simulation.",

keywords = "Adaptive control, Integrated guidance and control, Online composite learning, Serial-parallel estimation model",

author = "Yu Bai and Tian Yan and Bingjie Han and Wenxing Fu and Yue Shen",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023 ; Conference date: 14-07-2023 Through 16-07-2023",

year = "2023",

doi = "10.1109/CFASTA57821.2023.10243238",

language = "英语",

series = "Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Bai, Y, Yan, T, Han, B, Fu, W & Shen, Y 2023, The Design of Adaptive Integrated Guidance and Control Subjected to State Constraints and Multiple Uncertainties. in Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023. Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023, Institute of Electrical and Electronics Engineers Inc., pp. 734-739, 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023, Qingdao, China, 14/07/23. https://doi.org/10.1109/CFASTA57821.2023.10243238

The Design of Adaptive Integrated Guidance and Control Subjected to State Constraints and Multiple Uncertainties. / Bai, Yu; Yan, Tian; Han, Bingjie et al.
Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 734-739 (Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023).

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

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T1 - The Design of Adaptive Integrated Guidance and Control Subjected to State Constraints and Multiple Uncertainties

AU - Bai, Yu

AU - Yan, Tian

AU - Han, Bingjie

AU - Fu, Wenxing

AU - Shen, Yue

PY - 2023

Y1 - 2023

N2 - This paper focuses on adaptive dynamic surface composite control subjected to state constraints and multiple uncertainties in integrated guidance and control (IGC) design for skid-to-turn missiles. The novel IGC algorithm incorporates adaptive dynamic surface composite control with the barrier Lyapunov function. Composite control in this paper takes a superior approach by introducing the estimated information of the system states from the series-parallel estimation model into the neural network under the framework of adaptive dynamic surface control to achieve composite learning, which makes the algorithm learn more accurately for system disturbance. Meanwhile, the saturation function and the barrier Lyapunov function (BLF) ensure that the system state satisfies the constraints. The effectiveness of the IGC scheme is verified by numerical simulation.

AB - This paper focuses on adaptive dynamic surface composite control subjected to state constraints and multiple uncertainties in integrated guidance and control (IGC) design for skid-to-turn missiles. The novel IGC algorithm incorporates adaptive dynamic surface composite control with the barrier Lyapunov function. Composite control in this paper takes a superior approach by introducing the estimated information of the system states from the series-parallel estimation model into the neural network under the framework of adaptive dynamic surface control to achieve composite learning, which makes the algorithm learn more accurately for system disturbance. Meanwhile, the saturation function and the barrier Lyapunov function (BLF) ensure that the system state satisfies the constraints. The effectiveness of the IGC scheme is verified by numerical simulation.

KW - Adaptive control

KW - Integrated guidance and control

KW - Online composite learning

KW - Serial-parallel estimation model

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BT - Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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Bai Y, Yan T, Han B, Fu W, Shen Y. The Design of Adaptive Integrated Guidance and Control Subjected to State Constraints and Multiple Uncertainties. In Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 734-739. (Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023). doi: 10.1109/CFASTA57821.2023.10243238

The Design of Adaptive Integrated Guidance and Control Subjected to State Constraints and Multiple Uncertainties

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