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A dynamically fuzzy gain – scheduled design for missile autopilot

Published online by Cambridge University Press:  04 July 2016

Chun-Liang Lin  and
Chai-Lin Hwang
Chun-Liang Lin
Affiliation:
Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan
Chai-Lin Hwang
Affiliation:
Chung Shan Institute of Science and Technology, Taoyuan, Taiwan
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Abstract

A dynamic backpropagation training algorithm for an adaptive fuzzy gain scheduling feedback control scheme with the application to missile autopilots is developed. This novel design methodology uses a Takagi-Sugeno fuzzy system to represent the fuzzy relationship between the scheduling variables and controller parameters. Mach number and angle-of-attack are used as measured, time-varying exogenous scheduling variables injected into the control law. By incorporating scheduling parameter variation information, the adaptation law for controller parameters is derived. Results from extensive simulation studies show that the presented approach offers satisfactory controlled system performance.

Type
Research Article
Information
The Aeronautical Journal , Volume 107 , Issue 1076 , October 2003 , pp. 599 - 606
Copyright
Copyright © Royal Aeronautical Society 2003 

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