Intelligent Position Control of Earth Station Antennas with Backlash Compensation Based on MLP Neural Network

被引：1
|
作者：
Razi, A. [1 ]
Menhaj, M. B. [1 ]
Mohebbi, A. [1 ]
机构：
[1] Amirkabir Univ Technol, Dept Elect Engn, Tehran, Iran
来源：
2009 CONFERENCE ON INNOVATIVE TECHNOLOGIES IN INTELLIGENT SYSTEMS AND INDUSTRIAL APPLICATIONS | 2009年
关键词：
SYSTEMS;
D O I：
10.1109/CITISIA.2009.5224199
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An Intelligent Control (IC) method based on MLP neural networks and Through Model Lemma (T.M.L.) is implemented to control the position of a Low Earth Orbit (LEO) satellites tracking earth station antenna. This approach relies on two different multilayer neural networks with delayed inputs, for the purpose of identification and control. Nonlinear term in motors caused by gear-box gaps or other parts lameness is not necessary to be measured or identified for considering in controller designing using this method. However due to test of the proposed method performance, this nonlinearity term modeled by a backlash block. Simulation results show the effectiveness of T.M.L. method for robust control in the presence of backlash nonlinearity.
引用
收藏
页码：265 / 270
页数：6
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