Application of fuzzy logic to wing rock motion control

Kyungmoon Nho, Ramesh K. Agarwal

Research output: Contribution to conferencePaperpeer-review

6 Scopus citations


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 languageEnglish
StatePublished - 1998
Event36th AIAA Aerospace Sciences Meeting and Exhibit, 1998 - Reno, United States
Duration: Jan 12 1998Jan 15 1998


Conference36th AIAA Aerospace Sciences Meeting and Exhibit, 1998
Country/TerritoryUnited States


Dive into the research topics of 'Application of fuzzy logic to wing rock motion control'. Together they form a unique fingerprint.

Cite this