Application of fuzzy logic to wing rock motion control

Kyungmoon Nho; Ramesh K. Agarwal

doi:10.2514/6.1998-497

Application of fuzzy logic to wing rock motion control

Kyungmoon Nho, Ramesh K. Agarwal

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6 Scopus citations

Abstract

A simple proportional and derivative (PD) type fuzzy logic inference involving self-tuning by altering scaling coefficients for fuzzy controller (FC) input variables is applied to control the nonlinear wing rock motion. The update of scaling coefficients is performed by introducing another fuzzy logic inference called fuzzy self-tuner (FST). It is shown that PD-type FC is well suited for controlling unstable dynamical behavior described by nonlinear equations of motion effectively. Two different wing rock models are employed to demonstrate the handling capability of FC over a wide range of initial conditions. For practical purposes, the deflection angle and the rate of aileron actuator are limited during numerical simulation of wing rock motion control.

Original language	English
DOIs	https://doi.org/10.2514/6.1998-497
State	Published - 1998
Event	36th AIAA Aerospace Sciences Meeting and Exhibit, 1998 - Reno, United States Duration: Jan 12 1998 → Jan 15 1998

Conference

Conference	36th AIAA Aerospace Sciences Meeting and Exhibit, 1998
Country/Territory	United States
City	Reno
Period	01/12/98 → 01/15/98

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10.2514/6.1998-497

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title = "Application of fuzzy logic to wing rock motion control",

abstract = "A simple proportional and derivative (PD) type fuzzy logic inference involving self-tuning by altering scaling coefficients for fuzzy controller (FC) input variables is applied to control the nonlinear wing rock motion. The update of scaling coefficients is performed by introducing another fuzzy logic inference called fuzzy self-tuner (FST). It is shown that PD-type FC is well suited for controlling unstable dynamical behavior described by nonlinear equations of motion effectively. Two different wing rock models are employed to demonstrate the handling capability of FC over a wide range of initial conditions. For practical purposes, the deflection angle and the rate of aileron actuator are limited during numerical simulation of wing rock motion control.",

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AB - A simple proportional and derivative (PD) type fuzzy logic inference involving self-tuning by altering scaling coefficients for fuzzy controller (FC) input variables is applied to control the nonlinear wing rock motion. The update of scaling coefficients is performed by introducing another fuzzy logic inference called fuzzy self-tuner (FST). It is shown that PD-type FC is well suited for controlling unstable dynamical behavior described by nonlinear equations of motion effectively. Two different wing rock models are employed to demonstrate the handling capability of FC over a wide range of initial conditions. For practical purposes, the deflection angle and the rate of aileron actuator are limited during numerical simulation of wing rock motion control.

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Application of fuzzy logic to wing rock motion control

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