DocumentCode :
1610220
Title :
Neural Network Control for Image Stabilization System on Helicopter in Remote Sensing
Author :
Bae, Yeong-Geol ; Park, Ju-Kwang ; Hyo Won Jeon ; Jung, Seul
Author_Institution :
Dept. of Mechtronics Eng., Chungnam Univ., Daejeon
fYear :
2006
Firstpage :
5169
Lastpage :
5172
Abstract :
Image stabilization system (ISS) is a device used in remote sensing which acquires stable images of remotely located objects. To get stable images, the ISS should reject the outer disturbance. The ISS has nonlinear characteristics such as structural errors, friction and disturbances. Although PID controllers are optimally designed, PID controllers may not perform well as expected when disturbances are present. To reject disturbances, the neural network controller along with PID controllers is used to compensate for uncertainties in online fashion. Experimental results show that performance of stabilization is well improved by a neural network controller
Keywords :
aircraft control; helicopters; image processing; military aircraft; neurocontrollers; remote sensing; stability; three-term control; tracking; PID controllers; helicopter; image stabilization system; neural network control; remote sensing; remotely located objects; Control systems; Error correction; Helicopters; Interference; Neural networks; Optimal control; Remote sensing; Robust control; Three-term control; Uncertainty; ISS; PID control; neural network controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
Type :
conf
DOI :
10.1109/SICE.2006.315674
Filename :
4108694
Link To Document :
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