Implementation and Control of X–Y Pedestal Using Dual-Drive Technique and Feedback Error Learning for LEO Satellite Tracking

Author

Taheri, Asghar ; Shoorehdeli, Mahdi Aliyari ; Bahrami, Hamid Reza ; Fatehi, Mohammad Hossein

Author_Institution

Dept. of Electr. Eng., Islamic Azad Univ., Tehran, Iran

Volume

22

Issue

4

fYear

2014

fDate

Jul-14

Firstpage

1646

Lastpage

1657

Abstract

This brief presents a X-Y pedestal using the feedback error learning (FEL) controller with adaptive neural network for low earth orbit (LEO) satellite tracking applications. The aim of the FEL is to derive the inverse dynamic model of the X-Y pedestal. In this brief, the kinematics of X-Y pedestal is obtained. To minimize or eliminate the backlash between gears, an antibacklash gearing system with dual-drive technique is used. The X-Y pedestal is implemented and the experimental results are obtained. They verify the obtained kinematics of the X-Y pedestal, its ability to minimize backlash, and the reduction of the tracking error for LEO satellite tracking in the typical NOAA19 weather satellite. Finally, the experimental results are plotted.

Keywords

adaptive control; artificial satellites; feedback; neurocontrollers; satellite tracking; FEL controller; LEO satellite tracking; NOAA19 weather satellite; X-Y pedestal; adaptive neural network; antibacklash gearing system; dual-drive technique; feedback error learning; low earth orbit; Biological neural networks; Feedforward neural networks; Gears; Kinematics; Satellites; Torque; Vectors; Antibacklash; X--Y pedestal.; X??Y pedestal; dual drive; feedback error learning (FEL); kinematics; low earth orbit (LEO); satellite tracking;

fLanguage

English

Journal_Title

Control Systems Technology, IEEE Transactions on

Publisher

ieee

ISSN

1063-6536

Type

jour

DOI

10.1109/TCST.2013.2281838

Filename

6626645