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

共 50 条

[41] Fuzzy-Model-Based Quantized Guaranteed Cost Control of Nonlinear Networked Systems [J].

Lu, Renquan ;

Cheng, Hongliu ;

Bai, Jianjun .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2015, 23 (03) :567-575

[42] Fuzzy Neural Network-based Time Delay Prediction for Networked Control Systems [J].

Han, Chang-Wook .

APPLIED MATHEMATICS & INFORMATION SCIENCES, 2014, 8 (01) :407-413

[43] NEURO-FUZZY CONTROL WITH TIME DELAY ESTIMATION FOR NONLINEAR NETWORKED CONTROL SYSTEMS [J].

Mendez-Monroy, Paul E. ;

Benitez-Perez, Hector .

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2011, 7 (7B) :4435-4450

[44] On Networked Control Systems Based on Smith Compensator [J].

Zhang Haitao ;

Li Zhen .

2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, :4731-4734

[45] On the model-based control of networked systems [J].

Montestruque, LA ;

Antsaklis, PJ .

AUTOMATICA, 2003, 39 (10) :1837-1843

[46] Intelligent Approach to Uncertain Networked Control Systems with Random Packet Losses [J].

Mahmoud, Magdi S. .

2015 SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS), 2015, :100-104

[47] Non-fragile H∞ tracking control for networked control systems based on T-S fuzzy model [J].

Xiao, Hui-Qin ;

He, Yong ;

Wu, Min ;

Xiao, Shen-Ping .

Kongzhi yu Juece/Control and Decision, 2015, 30 (01) :110-116

[48] The Intelligent Control System of Screw Refrigeration Compressor Based on Fuzzy Control [J].

Zhuang, Hai ;

Xun, Pianzhen ;

Zhang, Yingjie .

2011 INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND NEURAL COMPUTING (FSNC 2011), VOL I, 2011, :29-32

[49] INTELLIGENT OPTIMAL CONTROL of URBAN TRAFFIC LIGHTS BASED on FUZZY CONTROL [J].

Zhao Y.H. ;

Li R.X. ;

Li J. .

Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika), 2020, 79 (07) :613-621

[50] A Driver Model for Direction Control in Intelligent Driving Based on Fuzzy Control [J].

Chu, Liang ;

Chen, Jian ;

Wang, Yanbo .

ADVANCES IN ENGINEERING DESIGN AND OPTIMIZATION III, PTS 1 AND 2, 2012, 201-202 :422-427

← 1 2 3 4 5 →