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26196

An Auto-Pilot System Design Using Reduced Order Model Reference Adaptive Control

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Last updated: 04 Jan 2025

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Abstract

In this paper, the singularly-perturbed design of an auto-pilot system of a high speed fighter aircraft, for the same authors (1985), is modified. The previous suboptimal design based on singular perturbation technique was proper only for aircraft operation near its nominal flight conditions. The new proposed adaptive design would be adequate for all possible changes of aircraft dynamics. The plant with varying parameters, representing aircraft, is controlled to behave nearly similar to a chosen first order reference model. The proposed discrete model reference adaptive control design uses an adaptive algorithm of Suzuki and Takashima (1978), based on augmented error signal concept and Popov's hyperstability theorem. Computer simulation results are presented to demonstrate the usefulness of the proposed design.

DOI

10.21608/asat.1987.26196

Authors

First Name

A.

Last Name

TAWFIK

MiddleName

T.Y.

Affiliation

Ph. D. student, A/C Main Workshop-Helwan, E.A.F.

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Orcid

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First Name

A.

Last Name

WAHDAN

MiddleName

M.

Affiliation

Associate Professor, Dpt. of elect. & Computer, Ain Shams University. Cairo, Egypt - Working now at College of computer and information sciences, King Saud Univ., Kingdom of Saudi Arabia.

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Volume

2

Article Issue

A.S.A.T. CONFERENCE 21-23 April 1987 , CAIRO

Related Issue

4700

Issue Date

1987-04-01

Receive Date

2019-01-30

Publish Date

1987-04-01

Page Start

987

Page End

997

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_26196.html

Detail API

https://asat.journals.ekb.eg/service?article_code=26196

Order

39

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

An Auto-Pilot System Design Using Reduced Order Model Reference Adaptive Control

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Article

Created At

22 Jan 2023