A fast setting method of parameters in FCS based on genetic algorithm

Guangwen Li; Qiuling Jia; Xiaoxiong Liu

doi:10.1109/ICAL.2009.5262586

A fast setting method of parameters in FCS based on genetic algorithm

Guangwen Li, Qiuling Jia, Xiaoxiong Liu

School of Automation

Northwestern Polytechnical University Xian

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

1 Scopus citations

Abstract

The performance and flying quality of the aircraft depend on its flight control system (FCS), and the parameters of the FCS are very difficult to set because the aircraft is a time-varying system and the monotone changing laws of the parameters are required. In this paper, a fast setting method of the parameter of FCS, which is based on the genetic algorithm (GA), is proposed. In this method the requirement on the parameter and the flying quality are considered. To validate the effect of this method, a simulation of a kind of aircraft, which covers a big flying envelope, is made. The result shows that parameters gotten by the given fast method are satisfied.

Original language	English
Title of host publication	Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009
Pages	1109-1114
Number of pages	6
DOIs	https://doi.org/10.1109/ICAL.2009.5262586
State	Published - 2009
Event	2009 IEEE International Conference on Automation and Logistics, ICAL 2009 - Shenyang, China Duration: 5 Aug 2009 → 7 Aug 2009

Publication series

Name	Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009

Conference

Conference	2009 IEEE International Conference on Automation and Logistics, ICAL 2009
Country/Territory	China
City	Shenyang
Period	5/08/09 → 7/08/09

Keywords

Aircraft
FCS
GA

Access to Document

10.1109/ICAL.2009.5262586

Cite this

Li, G., Jia, Q., & Liu, X. (2009). A fast setting method of parameters in FCS based on genetic algorithm. In Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009 (pp. 1109-1114). Article 5262586 (Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009). https://doi.org/10.1109/ICAL.2009.5262586

@inproceedings{d770552652434e4f900cfb0f14906f8b,

title = "A fast setting method of parameters in FCS based on genetic algorithm",

abstract = "The performance and flying quality of the aircraft depend on its flight control system (FCS), and the parameters of the FCS are very difficult to set because the aircraft is a time-varying system and the monotone changing laws of the parameters are required. In this paper, a fast setting method of the parameter of FCS, which is based on the genetic algorithm (GA), is proposed. In this method the requirement on the parameter and the flying quality are considered. To validate the effect of this method, a simulation of a kind of aircraft, which covers a big flying envelope, is made. The result shows that parameters gotten by the given fast method are satisfied.",

keywords = "Aircraft, FCS, GA",

author = "Guangwen Li and Qiuling Jia and Xiaoxiong Liu",

year = "2009",

doi = "10.1109/ICAL.2009.5262586",

language = "英语",

isbn = "9781424447954",

series = "Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009",

pages = "1109--1114",

booktitle = "Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009",

note = "2009 IEEE International Conference on Automation and Logistics, ICAL 2009 ; Conference date: 05-08-2009 Through 07-08-2009",

}

Li, G, Jia, Q & Liu, X 2009, A fast setting method of parameters in FCS based on genetic algorithm. in Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009., 5262586, Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009, pp. 1109-1114, 2009 IEEE International Conference on Automation and Logistics, ICAL 2009, Shenyang, China, 5/08/09. https://doi.org/10.1109/ICAL.2009.5262586

A fast setting method of parameters in FCS based on genetic algorithm. / Li, Guangwen; Jia, Qiuling; Liu, Xiaoxiong.
Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009. 2009. p. 1109-1114 5262586 (Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009).

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

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AU - Jia, Qiuling

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PY - 2009

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N2 - The performance and flying quality of the aircraft depend on its flight control system (FCS), and the parameters of the FCS are very difficult to set because the aircraft is a time-varying system and the monotone changing laws of the parameters are required. In this paper, a fast setting method of the parameter of FCS, which is based on the genetic algorithm (GA), is proposed. In this method the requirement on the parameter and the flying quality are considered. To validate the effect of this method, a simulation of a kind of aircraft, which covers a big flying envelope, is made. The result shows that parameters gotten by the given fast method are satisfied.

AB - The performance and flying quality of the aircraft depend on its flight control system (FCS), and the parameters of the FCS are very difficult to set because the aircraft is a time-varying system and the monotone changing laws of the parameters are required. In this paper, a fast setting method of the parameter of FCS, which is based on the genetic algorithm (GA), is proposed. In this method the requirement on the parameter and the flying quality are considered. To validate the effect of this method, a simulation of a kind of aircraft, which covers a big flying envelope, is made. The result shows that parameters gotten by the given fast method are satisfied.

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BT - Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009

T2 - 2009 IEEE International Conference on Automation and Logistics, ICAL 2009

Y2 - 5 August 2009 through 7 August 2009

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A fast setting method of parameters in FCS based on genetic algorithm

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