scholarly journals Constant temperature control system of building energy system

2021 ◽  
Vol 25 (4 Part B) ◽  
pp. 2853-2860
Author(s):  
Shaofeng Dong ◽  
Yahai Wang ◽  
Wei Hu ◽  
Guangshan Zhang ◽  
Jinsong Zhan
Keyword(s):  
Control System ◽  
Constant Temperature ◽  
Temperature Control ◽  
Energy System ◽  
Temperature Control System ◽  
Peltier Effect ◽  
Control Effect ◽  
Intelligent Building ◽  
Smart Building ◽  
Building Energy System

Due to the poor effect of traditional systems on constant temperature control, the paper proposes to design an embedded continuous temperature control system in a dynamic, intelligent building. In the smart building, the thesis takes the building as the research object and uses the embedded technology to design the overall structure diagram of the system. The thesis aims at the output control module of the thermostat. It uses the Peltier effect to develop the thermocouple closed-loop and drives the semiconductor refrigeration device select. In the software part, the paper establishes a cross-compilation environment, transplants embedded kernels, and sets fuzzy rules for constant temperature control. The validity of the system design is verified through experiments. It can be seen from the experimental results that the system has a better thermostat control effect.

scholarly journals Thermal energy constant temperature control system of building energy system based on dynamic analysis method

2021 ◽  
Vol 25 (4 Part B) ◽  
pp. 2881-2888
Author(s):  
Hui Fu
Keyword(s):  
Control System ◽  
Dynamic Analysis ◽  
Constant Temperature ◽  
Air Temperature ◽  
Temperature Control ◽  
Indoor Environment ◽  
Temperature Control System ◽  
Analysis Method ◽  
Intelligent Building ◽  
Intelligent Buildings

If the intelligent building?s indoor environment?s constant temperature is accurately controlled, the comfort of the building can be improved. When we perform constant temperature control, there will be large fluctuations in the supply air temperature, which results in the traditional methods that cannot control the temperature within a reasonable range. Therefore, the paper proposes an optimal control method for the indoor environment constant temperature of intelligent buildings. In the IoT environment, we integrate the multi-agent technology to design the temperature fuzzy control structure, determine the input and output variables of the intelligent building temperature control system and its fuzzy set, use the dynamic analysis method to modify the fuzzy rules, and integrate it with bilinear The control algorithm builds a dynamic temperature control model for intelligent buildings to maintain the indoor temperature at the set value when the supply air temperature fluctuates significantly. This method makes up for the shortcomings that the current system cannot adapt to the intelligent building environment changes. The simulation results show that compared with the traditional algorithm, the improved algorithm can significantly improve the robustness of the intelligent building constant temperature control, and the temperature control stability is vital.

Constant temperature control system based on RNA virus detection

2021 ◽  
Author(s):  
Chunxiao Liu ◽  
Xiaobo Li ◽  
Haoming Chen ◽  
Yun Yan ◽  
Dong Wei ◽  
...  
Keyword(s):  
Control System ◽  
Constant Temperature ◽  
Temperature Control ◽  
Rna Virus ◽  
Virus Detection ◽  
Temperature Control System

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.

Design of Temperature Control System Based on DSP and Fuzzy Neural Network

2013 ◽  
Vol 823 ◽  
pp. 384-387
Author(s):  
Ya Juan Chen ◽  
Yue Hong Zhang ◽  
Gen Wang Ying
Keyword(s):  
Neural Network ◽  
Control System ◽  
Temperature Control ◽  
Fuzzy Neural Network ◽  
Good Control ◽  
Temperature Control System ◽  
Control Effect ◽  
Fuzzy Neural ◽  
Electric Boiler ◽  
Self Tuning

Using fuzzy neural network to tune PID parameters, and DSP as processor, it was designed that a set of electric boiler temperature control system based on PID parameters self-tuning, including the design of each hardware module and each software subroutine of the system. Experimental results show that compared with the traditional PID temperature control system, this temperature control system has the advantages such as good control effect, easy parameter adjustment, strong anti-jamming capability, better adaptability and robustness, has the feasibility and practical value.

Temperature Control System Based on Electronic Boiler

2013 ◽  
Vol 325-326 ◽  
pp. 1197-1201
Author(s):  
Guo Sheng Xu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Fuzzy Controller ◽  
System Simulation ◽  
Temperature Control System ◽  
Control Effect ◽  
Simulation Research ◽  
Control Regulation ◽  
Control Scheme

Research has been done aimed at the boiler's temperature control system, and available control scheme is put forward. Combining with the output response of control system, simulation research and the control regulation of fuzzy controller are done to analyse, after experiments for many times repeatedly, fuzzy control regulation is ensured. The simulation result indicates that control effect is ideal, which means this scheme is identified as ideal temperature control system scheme.

Plastic Tank Temperature Control System Based on OPC Technology

2014 ◽  
Vol 701-702 ◽  
pp. 812-815
Author(s):  
Lu Wang ◽  
You Zhi Ren ◽  
Hui Liu ◽  
Ya Wei Yang ◽  
Qian Zeng
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Control Method ◽  
Temperature Control System ◽  
Control Effect ◽  
Plc Control ◽  
Opc Technology ◽  
Neural Network Pid ◽  
Better Than

This paper analyzes the characteristics of the PLC and MATLAB, describes the OPC technology and introduces the system structures and procedures which uses the OPC technology to achieve the exchange of data between PLC and MATLAB system. For example, in the plastic tank temperature control system, it mentions the BP neural network PID control algorithm which is applied to the PLC control system by using the MATLAB intelligent controller. The results show that this control method is simple and the control effect is good, much better than the traditional PID control.

scholarly journals Possibility of temperature control on the test point study of elastomer properties

Mechanik ◽  
2018 ◽  
Vol 91 (12) ◽  
pp. 1116-1119
Author(s):  
Marek Stembalski ◽  
Wacław Skoczyński ◽  
Jakub Sandecki ◽  
Andrzej Roszkowski ◽  
Paweł Preś
Keyword(s):  
Control System ◽  
Constant Temperature ◽  
Temperature Control ◽  
Fatigue Tests ◽  
Test Point ◽  
Temperature Control System ◽  
Arduino Uno

The system of control and maintenance of temperature in the tank used for fatigue tests of the elements is presented. The designed system enables reaching and maintaining a constant temperature in the range from 17 to 45ºC with a slope of ±0.5ºC. The temperature control system was implemented using the Peltier cells and the Arduino Uno control system.

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