Nanchang, China††††††† May 22 - 24, 2009

Nanchang, China††††††† May 22 - 24, 2009

WISA 2009

WISA 2009

Second International Symposium on

Web Information Systems and Applications

Second International Symposium on

Web Information Systems and Applications

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Proceedings of the 2nd International Symposium on Web Information Systems and Applications (WISA 2009)

Nanchang, China, May 22-24, 2009

Editors: Fei Yu, Jiexian Zeng, and Guangxue Yue

AP Catalog Number: AP-PROC-CS-09CN001

ISBN: 978-952-5726-00-8 (Print), 978-952-5726-01-5 (CD-ROM)

Page(s): 465-468

Reinforcement Self-learning Fuzzy Neural Control of Three-axis Stabilized Spacecraft

†††††††††† JIA Jie, XIE Yu, ZHANG Xiangyang, LUO Xutao, YONG Yuanqin

Full text:† PDF

Abstract

This article introduce Reinforcement self-learning fuzzy neural control and put it into Attitude Control of Spacecraft System. It Simplifies and improves the Stucture of Reinforcement Fuzzy Neural Controller. Under the the premise of A certain degree of control accuracy , it decreases the number of the adjustment parameters which self-learning controller needed. The control algorithm which is able to learn online doenít require mathematical model of controlled object. In addition they Only use the reinforcement signals and donít need the Learning samples.† They can be Robust for uncertainty of the non-parametric spacecraft. The simulation results also show that the control method is effective.

Index Terms

reinforcement self-learning; fuzzy neural control; three-axis; spacecraft

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