Decoupling Controller Design for BTT Missile With Coupled Channels Based on Sliding Mode and Neural Network

Bin Huang; Yongshan Liu; Siqi Li

doi:10.1109/CAC53003.2021.9727608

Decoupling Controller Design for BTT Missile With Coupled Channels Based on Sliding Mode and Neural Network

Bin Huang, Yongshan Liu^*, Siqi Li

^*Corresponding author for this work

School of Aerospace Engineering

Beijing Institute of Technology

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

Abstract

Aiming at the serious coupled channels control problem in BTT missile, this paper adopts theories of sliding mode and neural network to design missile controller. Firstly, sliding mode control and neural network are introduced, and the joint equation of states for pitch and yaw channels of BTT missile is established. Secondly, the coupling factors are estimated by the linear extended states observer for decoupling and the control laws of coupled channels are designed. Thirdly, in order to decrease the chattering of sliding mode control, the gain term of sliding mode would be adjusted by RBF neural network online. Finally, the performance and robustness of the designed controller are verified by simulation.

Original language	English
Title of host publication	Proceeding - 2021 China Automation Congress, CAC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1151-1156
Number of pages	6
ISBN (Electronic)	9781665426473
DOIs	https://doi.org/10.1109/CAC53003.2021.9727608
Publication status	Published - 2021
Event	2021 China Automation Congress, CAC 2021 - Beijing, China Duration: 22 Oct 2021 → 24 Oct 2021

Publication series

Name	Proceeding - 2021 China Automation Congress, CAC 2021

Conference

Conference	2021 China Automation Congress, CAC 2021
Country/Territory	China
City	Beijing
Period	22/10/21 → 24/10/21

Keywords

BTT missile
Gain term adjusting
Linear extended states observer
RBF neural network
Sliding mode control

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10.1109/CAC53003.2021.9727608

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Huang, B., Liu, Y., & Li, S. (2021). Decoupling Controller Design for BTT Missile With Coupled Channels Based on Sliding Mode and Neural Network. In Proceeding - 2021 China Automation Congress, CAC 2021 (pp. 1151-1156). (Proceeding - 2021 China Automation Congress, CAC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAC53003.2021.9727608

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title = "Decoupling Controller Design for BTT Missile With Coupled Channels Based on Sliding Mode and Neural Network",

abstract = "Aiming at the serious coupled channels control problem in BTT missile, this paper adopts theories of sliding mode and neural network to design missile controller. Firstly, sliding mode control and neural network are introduced, and the joint equation of states for pitch and yaw channels of BTT missile is established. Secondly, the coupling factors are estimated by the linear extended states observer for decoupling and the control laws of coupled channels are designed. Thirdly, in order to decrease the chattering of sliding mode control, the gain term of sliding mode would be adjusted by RBF neural network online. Finally, the performance and robustness of the designed controller are verified by simulation.",

keywords = "BTT missile, Gain term adjusting, Linear extended states observer, RBF neural network, Sliding mode control",

author = "Bin Huang and Yongshan Liu and Siqi Li",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 China Automation Congress, CAC 2021 ; Conference date: 22-10-2021 Through 24-10-2021",

year = "2021",

doi = "10.1109/CAC53003.2021.9727608",

language = "English",

series = "Proceeding - 2021 China Automation Congress, CAC 2021",

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

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booktitle = "Proceeding - 2021 China Automation Congress, CAC 2021",

address = "United States",

}

Huang, B, Liu, Y & Li, S 2021, Decoupling Controller Design for BTT Missile With Coupled Channels Based on Sliding Mode and Neural Network. in Proceeding - 2021 China Automation Congress, CAC 2021. Proceeding - 2021 China Automation Congress, CAC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 1151-1156, 2021 China Automation Congress, CAC 2021, Beijing, China, 22/10/21. https://doi.org/10.1109/CAC53003.2021.9727608

Decoupling Controller Design for BTT Missile With Coupled Channels Based on Sliding Mode and Neural Network. / Huang, Bin; Liu, Yongshan; Li, Siqi.
Proceeding - 2021 China Automation Congress, CAC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1151-1156 (Proceeding - 2021 China Automation Congress, CAC 2021).

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

TY - GEN

T1 - Decoupling Controller Design for BTT Missile With Coupled Channels Based on Sliding Mode and Neural Network

AU - Huang, Bin

AU - Liu, Yongshan

AU - Li, Siqi

PY - 2021

Y1 - 2021

N2 - Aiming at the serious coupled channels control problem in BTT missile, this paper adopts theories of sliding mode and neural network to design missile controller. Firstly, sliding mode control and neural network are introduced, and the joint equation of states for pitch and yaw channels of BTT missile is established. Secondly, the coupling factors are estimated by the linear extended states observer for decoupling and the control laws of coupled channels are designed. Thirdly, in order to decrease the chattering of sliding mode control, the gain term of sliding mode would be adjusted by RBF neural network online. Finally, the performance and robustness of the designed controller are verified by simulation.

AB - Aiming at the serious coupled channels control problem in BTT missile, this paper adopts theories of sliding mode and neural network to design missile controller. Firstly, sliding mode control and neural network are introduced, and the joint equation of states for pitch and yaw channels of BTT missile is established. Secondly, the coupling factors are estimated by the linear extended states observer for decoupling and the control laws of coupled channels are designed. Thirdly, in order to decrease the chattering of sliding mode control, the gain term of sliding mode would be adjusted by RBF neural network online. Finally, the performance and robustness of the designed controller are verified by simulation.

KW - BTT missile

KW - Gain term adjusting

KW - Linear extended states observer

KW - RBF neural network

KW - Sliding mode control

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DO - 10.1109/CAC53003.2021.9727608

M3 - Conference contribution

AN - SCOPUS:85128066676

T3 - Proceeding - 2021 China Automation Congress, CAC 2021

SP - 1151

EP - 1156

BT - Proceeding - 2021 China Automation Congress, CAC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 China Automation Congress, CAC 2021

Y2 - 22 October 2021 through 24 October 2021

ER -

Decoupling Controller Design for BTT Missile With Coupled Channels Based on Sliding Mode and Neural Network

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