Gain-scheduling autopilot design based on fixed-structure synthesis

Bin Li; Defu Lin; Hui Wang; Jiang Wang

doi:10.1109/GNCC42960.2018.9019133

Gain-scheduling autopilot design based on fixed-structure synthesis

Bin Li, Defu Lin, Hui Wang, Jiang Wang

School of Aerospace Engineering

Beijing Institute of Technology

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

Abstract

A novel global gain-scheduling controller based on fixed-structure synthesis for missile autopilot has been presented in this paper. The original nonlinear control problem is going to be converted into a multi-model linear time invariant (LTI) structured-controller synthesis by fixed-structure synthesis. Missile three-loop autopilot structure and suitable performance constraints, including acceleration tracking, disturbances rejection, stability margin and pole constraints are considered. Nonsmooth optimization technique is utilized to overcome this multi-model synthesis problem. Gain surface tuning (GST) technique based on quadratic polynomial function of gain-scheduled parameters is applied to smooth the controller gains in order to avoid posteriori interpolation. Simulation results validate the effectiveness and robustness of the proposed method.

Original language	English
Title of host publication	2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538611715
DOIs	https://doi.org/10.1109/GNCC42960.2018.9019133
Publication status	Published - Aug 2018
Event	2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018 - Xiamen, China Duration: 10 Aug 2018 → 12 Aug 2018

Publication series

Name	2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018

Conference

Conference	2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
Country/Territory	China
City	Xiamen
Period	10/08/18 → 12/08/18

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10.1109/GNCC42960.2018.9019133

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Li, B., Lin, D., Wang, H., & Wang, J. (2018). Gain-scheduling autopilot design based on fixed-structure synthesis. In 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018 Article 9019133 (2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GNCC42960.2018.9019133

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title = "Gain-scheduling autopilot design based on fixed-structure synthesis",

abstract = "A novel global gain-scheduling controller based on fixed-structure synthesis for missile autopilot has been presented in this paper. The original nonlinear control problem is going to be converted into a multi-model linear time invariant (LTI) structured-controller synthesis by fixed-structure synthesis. Missile three-loop autopilot structure and suitable performance constraints, including acceleration tracking, disturbances rejection, stability margin and pole constraints are considered. Nonsmooth optimization technique is utilized to overcome this multi-model synthesis problem. Gain surface tuning (GST) technique based on quadratic polynomial function of gain-scheduled parameters is applied to smooth the controller gains in order to avoid posteriori interpolation. Simulation results validate the effectiveness and robustness of the proposed method.",

author = "Bin Li and Defu Lin and Hui Wang and Jiang Wang",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018 ; Conference date: 10-08-2018 Through 12-08-2018",

year = "2018",

month = aug,

doi = "10.1109/GNCC42960.2018.9019133",

language = "English",

series = "2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018",

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

booktitle = "2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018",

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}

Li, B, Lin, D , Wang, H & Wang, J 2018, Gain-scheduling autopilot design based on fixed-structure synthesis. in 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018., 9019133, 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018, Xiamen, China, 10/08/18. https://doi.org/10.1109/GNCC42960.2018.9019133

Gain-scheduling autopilot design based on fixed-structure synthesis. / Li, Bin; Lin, Defu ; Wang, Hui et al.
2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 9019133 (2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018).

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

TY - GEN

T1 - Gain-scheduling autopilot design based on fixed-structure synthesis

AU - Li, Bin

AU - Lin, Defu

AU - Wang, Hui

AU - Wang, Jiang

PY - 2018/8

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N2 - A novel global gain-scheduling controller based on fixed-structure synthesis for missile autopilot has been presented in this paper. The original nonlinear control problem is going to be converted into a multi-model linear time invariant (LTI) structured-controller synthesis by fixed-structure synthesis. Missile three-loop autopilot structure and suitable performance constraints, including acceleration tracking, disturbances rejection, stability margin and pole constraints are considered. Nonsmooth optimization technique is utilized to overcome this multi-model synthesis problem. Gain surface tuning (GST) technique based on quadratic polynomial function of gain-scheduled parameters is applied to smooth the controller gains in order to avoid posteriori interpolation. Simulation results validate the effectiveness and robustness of the proposed method.

AB - A novel global gain-scheduling controller based on fixed-structure synthesis for missile autopilot has been presented in this paper. The original nonlinear control problem is going to be converted into a multi-model linear time invariant (LTI) structured-controller synthesis by fixed-structure synthesis. Missile three-loop autopilot structure and suitable performance constraints, including acceleration tracking, disturbances rejection, stability margin and pole constraints are considered. Nonsmooth optimization technique is utilized to overcome this multi-model synthesis problem. Gain surface tuning (GST) technique based on quadratic polynomial function of gain-scheduled parameters is applied to smooth the controller gains in order to avoid posteriori interpolation. Simulation results validate the effectiveness and robustness of the proposed method.

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M3 - Conference contribution

AN - SCOPUS:85082477105

T3 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018

BT - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018

Y2 - 10 August 2018 through 12 August 2018

ER -

Gain-scheduling autopilot design based on fixed-structure synthesis

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