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.
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页数：4
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