Neuro-Fuzzy Precompensator in Servo Pneumatic System

被引：3

作者：

Sanngoen, Wanayuth ^{[1
]}

Po-nagoen, Watcharin ^{[2
]}

机构：

[1] Sripatum Univ, Dept Mech Engn, 61 Phaholyotin Rd, Bangkok, Thailand

[2] King Mongkuts Univ Technol North Bangkok, Bangkok, Thailand

来源：

2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 1 | 2010年

关键词：

Neuro-fuzzy control; Precompensated control; Pneumatic system; CONTROLLERS;

D O I：

10.1109/ICACC.2010.5487048

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Because of the dead-zone nonlinearity characteristic in pneumatic system, high steady state error and overshoot have occurred in the position response as a typical imperfect implementation of associated control dynamic. In this situation, there is a necessity to be able to effectively utilizing the intelligent controller framework. The primary purpose of this research is to develop a control algorithm based on precompensated neuro-fuzzy for a typical pneumatic servo system. This precompensator neuro-fuzzy combined with fuzzy controller will be implemented to enhance the overall performance. Experiments were carried out and the experimental results illustrated that the above precompensated intelligent framework can improve the overall the performance.

引用

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页码：78 / 82

页数：5

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