An intelligent control paradigm for flight control applications

Frederic L. Swern; Constantin Chassapis; Arend P. Van Der Veen

doi:10.2514/6.1994-3587

An intelligent control paradigm for flight control applications

Frederic L. Swern, Constantin Chassapis, Arend P. Van Der Veen

Department of Mechanical Engineering

Stevens Institute of Technology

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

A control approach was developed for nonlinear systems based on aircraft modeling, and control performance is based on the accuracy of the model. In the actual aircraft implementation, a neural network is substituted for the model and trained offline to produce the same results. A methodology is developed to validate both the network and the overall controller as meeting performance and reliability requirements. Development of a multi-axis controller using this methodology with a fuzzy controller for reconfiguration is presented. Computer simulations to test the methodology on a simple airfoil and a pitch axis flight controller are also reported.

Original language	English
Pages	401-409
Number of pages	9
DOIs	https://doi.org/10.2514/6.1994-3587
State	Published - 1994
Event	Guidance, Navigation, and Control Conference, 1994 - Scottsdale, United States Duration: 1 Aug 1994 → 3 Aug 1994

Conference

Conference	Guidance, Navigation, and Control Conference, 1994
Country/Territory	United States
City	Scottsdale
Period	1/08/94 → 3/08/94

Access to Document

10.2514/6.1994-3587

Cite this

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title = "An intelligent control paradigm for flight control applications",

abstract = "A control approach was developed for nonlinear systems based on aircraft modeling, and control performance is based on the accuracy of the model. In the actual aircraft implementation, a neural network is substituted for the model and trained offline to produce the same results. A methodology is developed to validate both the network and the overall controller as meeting performance and reliability requirements. Development of a multi-axis controller using this methodology with a fuzzy controller for reconfiguration is presented. Computer simulations to test the methodology on a simple airfoil and a pitch axis flight controller are also reported.",

author = "Swern, \{Frederic L.\} and Constantin Chassapis and \{Van Der Veen\}, \{Arend P.\}",

note = "Publisher Copyright: {\textcopyright} 1994 American Institute of Aeronautics and Astronautics. Inc. All rights reserved.; Guidance, Navigation, and Control Conference, 1994 ; Conference date: 01-08-1994 Through 03-08-1994",

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AB - A control approach was developed for nonlinear systems based on aircraft modeling, and control performance is based on the accuracy of the model. In the actual aircraft implementation, a neural network is substituted for the model and trained offline to produce the same results. A methodology is developed to validate both the network and the overall controller as meeting performance and reliability requirements. Development of a multi-axis controller using this methodology with a fuzzy controller for reconfiguration is presented. Computer simulations to test the methodology on a simple airfoil and a pitch axis flight controller are also reported.

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ER -

An intelligent control paradigm for flight control applications

Abstract

Conference

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