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23975

EFFICIENT FUZZY LOGIC DESIGN TO IMPROVE DYNAMIC STABILITY OF LATERAL LANDING AUTOPILOT

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Last updated: 04 Jan 2025

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Abstract

In this paper, lateral beam guidance autopilot system has considered as an aerospace application. The construction and derivation of the equations of motion is considered and partial modification in internal construction of the autopilot has performed. Proposed efficient fuzzy logic and robust compensator control have applied to the lateral beam autopilot system to increase damping oscillation. Moreover, for comparisons the conventional optimal control has designed and evaluated. The robustness and convergence of the system due to the stability derivatives variations are studied. Efficient fuzzy logic control is preferred for this system where, it does not require the complex mathematics associated with conventional control techniques. The digital simulation results show the effectiveness of the proposed fuzzy logic and LQG controllers in terms of fast damping the oscillations, small settling time, and less over/under shoots.

DOI

10.21608/asat.2007.23975

Keywords

Aircraft lateral autopilot system, Fuzzy logic control, optimal control. LQG control

Authors

First Name

Ali

Last Name

Yousef

MiddleName

M.

Affiliation

Assistant prof. in Electric Eng., Dept., Faculty of Engineering Assiut University, Assiut- Egypt.

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Volume

12

Article Issue

ASAT Conference, 29-31 May 2007

Related Issue

4431

Issue Date

2007-05-01

Receive Date

2019-01-09

Publish Date

2007-05-01

Page Start

1

Page End

20

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_23975.html

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https://asat.journals.ekb.eg/service?article_code=23975

Order

56

Type

Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

EFFICIENT FUZZY LOGIC DESIGN TO IMPROVE DYNAMIC STABILITY OF LATERAL LANDING AUTOPILOT

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Article

Created At

22 Jan 2023