Optimization of the General Aviation Aircraft Longitudinal Controller Parameters Based on Genetic Algorithm

Yang Cao; Zhan Shuang Hu; Wei Ping Zhao

doi:10.4028/www.scientific.net/AMR.361-363.1795

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 361-363Optimization of the General Aviation Aircraft...

Optimization of the General Aviation Aircraft Longitudinal Controller Parameters Based on Genetic Algorithm

Abstract:

The PID control is a popularly control method that used in control systems, which is still adopted in many practical application processes.This paper is based on the oringinal navigation aircraft longitudinal channels model,and discusses the setting of navigation autopilot longitudinal channels model in the PID controller parameters, using General Aviation Aircraft Longitudinal channels of PID control parameters optimization based on Genetic Algorithm.In contrast with the simulink7.1 simulation results of the longitudinal channel model, base on the thought of genetic algorithm and use MATLAB language program to get the parameters of the controller, adjusting the parameters to achieve the optimization of PID control parameters. The result of SIMULINK simulation: The PID controller which is designed by using the genetic algorithm is more adaptability, flexibility, and can guarantee the system control effect.

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Periodical:

Advanced Materials Research (Volumes 361-363)

Pages:

1795-1798

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.361-363.1795

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Online since:

October 2011

Authors:

Yang Cao, Zhan Shuang Hu, Wei Ping Zhao

Keywords:

General Aviation Aircraft, Genetic Algorithm (GA), Optimization Procedures, PID

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References

[1] Robert C.Nelson: Flight stability and automatic control ,National Defence Industry Press Beijing August 2008. "In Chinese"

Google Scholar

[2] Katsuhiko Ogata Modern Control Engineering (Fourth Edition) Publishing House of Electronics Industry in USA ,2003.7

Google Scholar

[3] Gnen F.Franklin,J.David Powell,Abbas Emami-Naeini Feedback Control of Dynamic Systems(Fourth Edition) Publishing House of Electronics Industry ,2004.5

Google Scholar

[4] Yongzhe Tang, Helicopter Control System Design,National Defence Industry Press August 2000,pp.137-145. "In Chinese"

Google Scholar

[5] Tao Zhou, Simplified model of micro-and small-scale unmanned helicopter control system, Zhejiang University May 2006. "In Chinese"

Google Scholar

[6] Liang Sun, MATLAB Language and Control System,Beijing Industry University Press Beijing January 2003.pp.178-2. "In Chinese"

Google Scholar