Networked Control Systems Based on Human-Simulated Intelligent and Fuzzy Control

被引：0

作者：

Guo, Cheng ^{[1
]}

Du, Feng ^{[1
]}

Li, Jinyu ^{[1
]}

Ren, Jia ^{[1
]}

Zhang, Yu ^{[1
]}

Zhou, Hui ^{[1
]}

机构：

[1] Hainan Univ, Coll Informat Sci & Technol, Haikou, Peoples R China

来源：

2012 WORLD AUTOMATION CONGRESS (WAC) | 2012年

关键词：

fuzzy control; human-simulated intelligent control; PID; networked control systems;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to improve the performance of the control algorithm, this paper uses the good anti-interference ability of fuzzy control, combining with the human-simulated intelligent control; design a human-simulated intelligent fuzzy control algorithm. The algorithm both have the anti-interference ability of fuzzy control, and can take consideration to the stability, the speed and the accuracy together of human-simulated intelligent control. In this paper, based on the fuzzy control PID, Using the human-simulated intelligent control adjusts the three parameters of PID respectively once again. Finally simulate in the networked control systems with truetime 1.5, and the results show that the human-simulated intelligent fuzzy controller is smaller overshoot, faster response, smaller steady error, and stronger anti-interference ability than single fuzzy controller.

引用

页数：4

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