Research on pressure control algorithm for flow adjustable gas generator

Yuan Xiang Liu; Xiao Xian Yao; Ling Cong Nie; Xiao Dong Song

doi:10.7673/j.issn.1006-2793.2014.01.008

Research on pressure control algorithm for flow adjustable gas generator

Yuan Xiang Liu, Xiao Xian Yao, Ling Cong Nie, Xiao Dong Song^*

^*Corresponding author for this work

School of Aerospace Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

The operating principle of flow adjustable gas generator was analyzed. Steady and dynamic model of operating process were derived. The transfer function of gas generator at dynamic-state was gained and influencing factors on gain and time parameter of the system were analyzed. The results show that the dynamic model of gas generator is a variation parameters system. Based on the analysis of the result, a feed-forward adaptive PID control algorithm was designed, which could overcome the instability induced by the variation parameters of the system, and improve the response speed and control accuracy of system. Numerical simulation results show that the feed-forward adaptive PID control, compared with traditional PID control, has better dynamic performance and stronger robustness.

Original language	English
Pages (from-to)	43-46+85
Journal	Guti Huojian Jishu/Journal of Solid Rocket Technology
Volume	37
Issue number	1
DOIs	https://doi.org/10.7673/j.issn.1006-2793.2014.01.008
Publication status	Published - 2014

Keywords

Feed-forward adaptive PID
Gas generator
Pressure control
Variation parameters system

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10.7673/j.issn.1006-2793.2014.01.008

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title = "Research on pressure control algorithm for flow adjustable gas generator",

abstract = "The operating principle of flow adjustable gas generator was analyzed. Steady and dynamic model of operating process were derived. The transfer function of gas generator at dynamic-state was gained and influencing factors on gain and time parameter of the system were analyzed. The results show that the dynamic model of gas generator is a variation parameters system. Based on the analysis of the result, a feed-forward adaptive PID control algorithm was designed, which could overcome the instability induced by the variation parameters of the system, and improve the response speed and control accuracy of system. Numerical simulation results show that the feed-forward adaptive PID control, compared with traditional PID control, has better dynamic performance and stronger robustness.",

keywords = "Feed-forward adaptive PID, Gas generator, Pressure control, Variation parameters system",

author = "Liu, {Yuan Xiang} and Yao, {Xiao Xian} and Nie, {Ling Cong} and Song, {Xiao Dong}",

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doi = "10.7673/j.issn.1006-2793.2014.01.008",

language = "English",

volume = "37",

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journal = "Guti Huojian Jishu/Journal of Solid Rocket Technology",

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TY - JOUR

T1 - Research on pressure control algorithm for flow adjustable gas generator

AU - Liu, Yuan Xiang

AU - Yao, Xiao Xian

AU - Nie, Ling Cong

AU - Song, Xiao Dong

PY - 2014

Y1 - 2014

N2 - The operating principle of flow adjustable gas generator was analyzed. Steady and dynamic model of operating process were derived. The transfer function of gas generator at dynamic-state was gained and influencing factors on gain and time parameter of the system were analyzed. The results show that the dynamic model of gas generator is a variation parameters system. Based on the analysis of the result, a feed-forward adaptive PID control algorithm was designed, which could overcome the instability induced by the variation parameters of the system, and improve the response speed and control accuracy of system. Numerical simulation results show that the feed-forward adaptive PID control, compared with traditional PID control, has better dynamic performance and stronger robustness.

AB - The operating principle of flow adjustable gas generator was analyzed. Steady and dynamic model of operating process were derived. The transfer function of gas generator at dynamic-state was gained and influencing factors on gain and time parameter of the system were analyzed. The results show that the dynamic model of gas generator is a variation parameters system. Based on the analysis of the result, a feed-forward adaptive PID control algorithm was designed, which could overcome the instability induced by the variation parameters of the system, and improve the response speed and control accuracy of system. Numerical simulation results show that the feed-forward adaptive PID control, compared with traditional PID control, has better dynamic performance and stronger robustness.

KW - Feed-forward adaptive PID

KW - Gas generator

KW - Pressure control

KW - Variation parameters system

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DO - 10.7673/j.issn.1006-2793.2014.01.008

M3 - Article

AN - SCOPUS:84897141576

SN - 1006-2793

VL - 37

SP - 43-46+85

JO - Guti Huojian Jishu/Journal of Solid Rocket Technology

JF - Guti Huojian Jishu/Journal of Solid Rocket Technology

IS - 1

ER -

Research on pressure control algorithm for flow adjustable gas generator

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