Application of Fuzzy Control in Transformer Cooling System

2011 ◽  
Vol 383-390 ◽  
pp. 1262-1266
Author(s):  
Zhen Guo Jia
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Cooling System ◽  
Lookup Table ◽  
Control Rules ◽  
Cooling Control ◽  
System Energy ◽  
Automation Level

Designed a device with PLC and inverter for transformer cooling control system. The structure of fuzzy controller is built with PLC. By calculating and testing, fuzzy and fuzzy control rules are established. Practical computing for the PLC to control the output lookup table is given. Using this technique, transformer cooling system energy consumption will be reduced, transformer’s coolers life will be extended and transformer cooling system automation level will be increased.

Research in the Design of the Fuzzy Controller Intelligence of the Measuring and Controlling Apparatus on Water-Content in Material Pulp

2012 ◽  
Vol 457-458 ◽  
pp. 1475-1479
Author(s):  
Guo Hong Xia
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Water Content ◽  
Fuzzy Controller ◽  
Paper Briefly ◽  
Automatic Measuring ◽  
Control Rules ◽  
Self Organized ◽  
Classical Control ◽  
Fuzzy Control Algorithm

In the course of producing material pulp, water-content (or the density of material pulp) is a very important process parameter. There are many elements which affect the water-content of material pulp, therefore it is very difficult to build precise mathematical module. In the meantime, the control system is nonlinear and retarded. For such control systems, the classical control system and modern control system is always hard to be applied, but fuzzy control can usually gain good results. This paper briefly illustrates the basic composing frame graph of the fuzzy control system of the automatic measuring and controlling apparatus on water-content in material pulp. We design the fuzzy controller of the automatic measuring and controlling apparatus on water-content in material pulp from these aspects: from the fuzzification of the sendout values, the rules of fuzzy reasoning, the adjustment of fuzzy control rules through the principle of double-factor self-organized fuzzy control, and the précising of the input values, and etc., and give the program frame graph of the fuzzy control algorithm. The successful application of the Intelligence Measuring and Controlling Apparatus on water-content proves that the design of the fuzzy controller is reasonable.

The Development of Dual-Effect Fuzzy Control System Based on FPGA

2013 ◽  
Vol 321-324 ◽  
pp. 1645-1648
Author(s):  
Chung Neng Huang ◽  
Ying Han Ye ◽  
Chien Kuo Lan
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Air Conditioning ◽  
High Efficiency ◽  
Fuzzy Controller ◽  
Cooling System ◽  
Cooling Efficiency ◽  
Dual Effect ◽  
Air Conditioning System ◽  
Fuzzy Control System

The water misting cooling has phase change characteristics,so the cooling efficiency is better than water cooled ,and more saveing energy、save water、less noise ,It is being widely used in the air conditioning system for the condenser cooling. In order to enhance the cooling efficiency of the water misting cooling system and improve the efficiency of the air conditioning system in the cold room, In the study use ultrasonic water misting cooling chiller for controlled object, and proposed the dual-effect fuzzy control system controller’s design concepts ,carry out the fuzzy controller and the control circuit in the FPGA chip to reach the goal of the product, After the relevant tests that is differing from traditional air-cooled water chillers. In the study, in addition to improve the shortcomings of traditional chiller energy consumption, to enhance the efficiency of water misting cooling system, achieve more saving energy and high efficiency control purposes.

Fuzzy Control with Adjustable Factors in Tension Control System

2014 ◽  
Vol 902 ◽  
pp. 201-206 ◽  
Author(s):  
Fang He ◽  
Jia Han ◽  
Qiang Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Tension Control ◽  
System Response ◽  
Fast System ◽  
Fuzzy Control System ◽  
Control Rules ◽  
Tension Control System ◽  
Fuzzy Control Algorithm

The variable tension control system of strip winding is a nonlinear, strong coupling and time-varying system. Traditional fuzzy controller with fixed control rules cannot obtain the desired control performance of the strip winding system. So the fuzzy control algorithm with adjustable factorαis proposed, and the introduction of adjustable factors can change the fuzzy control rules. The tension fuzzy controller with adjustable factorαis designed, and simulation model of the system is established using Matlab software. The result of simulation shows that tension fluctuation of the tension fuzzy control system with adjustable factor get small, comparing the tension fuzzy control system with adjustable factors with the ordinary tension fuzzy control system. The tension fuzzy control system with adjustable factors has fast system response and strong anti-interference ability.

Design and Simulation of Temperature Control System in Intermittent Reaction Kettles Based on Intelligent Fuzzy Control

2013 ◽  
Vol 380-384 ◽  
pp. 294-297 ◽  
Author(s):  
Xin Wei Li
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Elevated Temperatures ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Temperature Curve ◽  
Time Variable ◽  
Temperature Control System ◽  
New Type

A temperature rising control system and temperature maintaining control system were designed in according to time-variable and hysteretic nature of temperature change and limitation when traditional PID control deals with nonlinear systems. A new type of intelligent fuzzy controller combination of traditional PID control and fuzzy control was designed and applied in temperature maintaining control system. The simulation results show that the holding phase at elevated temperatures and temperature, the temperature curve has a high steady-state accuracy and dynamic performance in the period of temperature rising and maintaining, and the system and controller cause a better result.

scholarly journals Research on Automation of Test Skill Evaluation Based on Fuzzy Controller

2021 ◽  
Vol 2136 (1) ◽  
pp. 012050
Author(s):  
Chunbao Liu ◽  
Sheng Zhang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Development Trend ◽  
Intelligent Control System ◽  
On Chip ◽  
Basic Features ◽  
Skill Evaluation ◽  
The Mathematical Model ◽  
The Development Trend

Abstract The fuzzy control system is composed of an integral part of modern intelligent automatic control, can control of precision is difficult to directly establish the mathematical model of the intelligent control system object data for effective fuzzy control, so fuzzy has wide application field, considering the basic features of fuzzy control arithmetic, more close to the parallel processing of the way of fuzzy data stream, so fuzzy control is more suitable for implementation by a special control circuit, not only can not only improve the speed of data processing, and it also can improve the control system running stability. With the improvement of programming logic and programmable ability of FPGA, FPGA has the necessary ability to implement ASIC directly and meet the requirements of system programming and design on chip. It has become the development trend of FPGA. The fuzzy analog controller can be used as a digital analog controller of a DC/DC fuzzy converter. In the absence of Matlab/Simulinkc environment, a DC/DC fuzzy converter can be modeled by using Maplecs toolbox. The simulation test results firstly verify the practical feasibility of the fuzzy analog controller. Then PLXILINXXC3S500EFPGA chip is used to realize the fuzzy simulation controller, and good simulation results are obtained.

The Fuzzy Control Method in Semi-Active Suspension

2010 ◽  
Vol 159 ◽  
pp. 644-649
Author(s):  
Jing Hua Zhao ◽  
Wen Bo Zhang ◽  
He Hao
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Reference Model ◽  
Active Suspension ◽  
Vibration Characteristic ◽  
Acceleration Signal ◽  
Logic Control

Based on the analysis of performance of vehicle and its suspension, half vehicle model of five DOF and road model were built and the dynamic equations of half vehicle were derived according to the parameters of a commercial vehicle. In addition, a novel fuzzy logic control system based on semi-active suspension was introduced to achieve the optimal vibration characteristic, with changing the adjustable dampers according to dynamic vertical body acceleration signal. The fuzzy control was designed based on non-reference model method that acceleration value was sent to the fuzzy controller directly. And then, simulation analysis of semi-active suspension with fuzzy control method were implemented on the B-class road surface. The results showed that the semi-active suspension control system introduced in this paper has better performance on vieicle vibration characteristic, compared to passive suspension.

Fuzzy Controller Design Used for Steel Length Measurement

2011 ◽  
Vol 383-390 ◽  
pp. 5176-5181
Author(s):  
Chong Sheng Hou
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Steel Plate ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Steel Plates ◽  
Control Technology ◽  
Practical Applications ◽  
Learning Function ◽  
Self Learning

The accurate measurement of the length of steel plate is the key to control technology for cross-cutting production line. Three steel plates determining-length control algorithms were deeply analyzed, in the set-length control strategy fuzzy control technology was introduced, and determining-length fuzzy controller structure and realization was analyzed; In order to improve the accuracy of steel plate crosscut, on the basis of the fuzzy control system self-learning function and artificial self-learning function were increased. Practical applications show that technical advancement, reliability of the control system and shear plate accuracy are high, fully meet the requirements of control.

Research of Temperature Control System Based on Fuzzy Control Algorithm for Mixer

2009 ◽  
Vol 87-88 ◽  
pp. 288-292 ◽  
Author(s):  
Chuan Sheng Wang ◽  
Fu Hai Zhou
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Cooling Water ◽  
Host Computer ◽  
Temperature Control System ◽  
Control Value ◽  
Fuzzy Control Algorithm

The changes of temperature in the rubber mixing process is of great significance. How to ensure the changes of temperature in rubber mixing is an important issue. The article introduces the temperature control system based on the fuzzy control algorithm. Using the host computer as the fuzzy controller, and the host computer educes the control value based on the difference between the reference input and the measure value. The system automatically discharges of high temperature water and automatically adds the appropriate amount of cooling water. The system can ensure the stability of the mixing temperature and ensure the quality of rubber mixing.

PID Parameter Setting Based on Fuzzy Control Algorithm and its Application in the Temperature Control System of Airplane

2012 ◽  
Vol 588-589 ◽  
pp. 1503-1506
Author(s):  
Fang Ding ◽  
Tao Ma
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
System Control ◽  
Control Effect ◽  
Fuzzy Control Algorithm

This Temperature control system of aircraft cabin is a complex system with nonlinear, time-varying, model inaccurate and work environment uncertain. According to the system control requirements, the fuzzy controller with the characteristic of fast response speed, good stability and strong resistance to interference is used in the study. The system error is adjusted constantly by using fuzzy control algorithm and simulation study is conducted in the software Matlab. The results are showed that control effect of control method used in this study is better than the traditional PID control method, and dynamic performance, steady state accuracy and robustness of system is effectively improved.

Research on Temperature Control System with a Scaling Factor for Iron Ore Reduction Measuration

2012 ◽  
Vol 542-543 ◽  
pp. 143-146
Author(s):  
Dong Xie ◽  
Jin Liang Shi ◽  
Qun Wei Yu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Iron Ore ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Control Device ◽  
Temperature Control System ◽  
Ore Reduction ◽  
Control Rules ◽  
Iron Ore Reduction

This paper presents the principle of iron ore reduction measuration system. According to characteristics of temperature developing in experimental, the proper control rules are adopted in different temperature ranges and the self-optimizing algorithm is used in controller design. A new fuzzy controller with self-tuning factor for temperature control system can replace the traditional instrument control device and achieve precise temperature control. The result of experimentation shows that the control system has satisfactory performance with better reliability and efficacy. This method adopted in controller is practical and worthy for reference.

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