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.
|State||Published - 1998|
|Event||36th AIAA Aerospace Sciences Meeting and Exhibit, 1998 - Reno, United States|
Duration: Jan 12 1998 → Jan 15 1998
|Conference||36th AIAA Aerospace Sciences Meeting and Exhibit, 1998|
|Period||01/12/98 → 01/15/98|