Design of indoor swimming pool water temperature control system based on fuzzy controller and Smith predictor

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.

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.588-589.1503 ◽

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.

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.542-543.143 ◽

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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Halogenated Disifection By-Products in Indoor Swimming Pool Water.

Journal of Environmental Chemistry ◽

10.5985/jec.8.473 ◽

1998 ◽

Vol 8 (3) ◽

pp. 473-479

Author(s):

Yasuo TAKAHASHI ◽

Kimi MORIYAMA ◽

Masatoshi MORITA

Keyword(s):

Swimming Pool ◽

Pool Water ◽

Indoor Swimming Pool ◽

Swimming Pool Water ◽

By Products

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Modelica-Based Simulation of Fuzzy Temperature Control System in Virtual Experiment

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.190-191.288 ◽

2012 ◽

Vol 190-191 ◽

pp. 288-291

Author(s):

Jian Feng Lu ◽

Ling Hui Xiao ◽

Rong Su

Keyword(s):

Mathematical Model ◽

Control System ◽

Key Words ◽

Temperature Control ◽

Fuzzy Controller ◽

Simulation System ◽

Temperature Control System ◽

Virtual Experiment

A fuzzy temperature control system is modeled and simulated in Modelica language，all of the system is mainly composed of heating tank, heater, fuzzy controller, electric valve and sensor. Every component is modeled separately in OpenModelica and created its MO file which is based on the component’s mathematical model and data parameter, and will be packaged into an xml file by Flex-plugin; finally, these parts are connected to an overall simulation system. The result of simulation is showed that this model is correct, and meets the control demand of fuzzy temperature control system． Key words: Modelica; fuzzy temperature control system; Mo file

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Performance Improvement of Water Temperature Control using Anti-windup Proportional Integral Derivative

Lontar Komputer Jurnal Ilmiah Teknologi Informasi ◽

10.24843/lkjiti.2018.v09.i02.p03 ◽

2018 ◽

pp. 81

Author(s):

Agung Surya Wibowo ◽

Erwin Susanto

Keyword(s):

Control System ◽

Steady State ◽

Water Temperature ◽

Performance Improvement ◽

Temperature Control ◽

Controller Design ◽

Temperature Control System ◽

Proportional Integral Derivative ◽

Steady State Condition ◽

Instability Problem

In this research, the controller was implemented in water temperature control system. This system has delay and saturation effect that caused instability problem in system. One of the effects occurred was windup effect. So, the implementation of controller needs to add anti-windup system. This paper described the comparison between 2 methods of controller design, conventional PID method and PID with Anti-Windup method. The conventional PID method resulted the system that was hardly to achieve the steady state condition. This was caused by windup effect as the system get saturation. The integrator part in PID will get bigger. The solution to fix this instability problem was by using the PID with Anti-Windup. The result of experiment showed that the output response from the control system with the anti-windup PID has a more stable than that of the conventional PID

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