Supervisory Recurrent Fuzzy Neural Network Control of Wing Rock for Slender Delta Wings

Suppression of wing rock of slender delta wings using a single neuron controller

Wing rock is a highly nonlinear phenomenon in which the aircraft undergoes limit cycle roll oscillations at high angles of attack. A single neuron control scheme for suppression of wing rock of slender delta wings is presented. The effectiveness of the control scheme is demonstrated through software simulation and real-time control experiments in a wind tunnel on a 80 swept back wing. The suppr...

Neural-Network-Based Adaptive Control of Wing Rock Motion

The wing rock motion is mathematically described by a nonlinear differential equation with coefficients varying with angle of attack. In this paper, a neural-network-based adaptive control system is developed for the wing rock motion control. The adaptive controller comprises a neural network controller and a compensation controller. The neural network controller using a recurrent neural networ...

Robust MRAC for a Wing Rock Phenomenon in Delta Wing Aircrafts

Wing rock phenomenon is an undesired motion appears in high angles of attack where a rolling in the aircraft in positive and negative roll angles with specified amplitude and frequency is occurred. In this paper two adaptive controllers suggested to control the rolling dynamics under wing rock phenomenon for a delta wing aircraft with presence of disturbance. Disturbance was considered as unmat...

A New Simple Analytical Model for Flow Analysis Over Slender Delta Wings

Recurrent Fuzzy Neural Network Control for Mimo Nonlinear Systems

This paper develops a design method of recurrent fuzzy neural network (RFNN) control system for multi-input multi-output (MIMO) nonlinear dynamic systems. This control system consists of a state feedback controller and an RFNN controller. The state feedback controller is a basic stabilizing controller to stabilize the system, and the RFNN controller presents a robust controller to deal with unc...