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.

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.

Study on Applications of State Feedback Based on NN Observer in Super-Heated Steam Temperature Control

2005 ◽  
Author(s):  
Luanying Zhang ◽  
Zhiming Qin ◽  
Junjie Gu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
State Feedback ◽  
Temperature Control System ◽  
Steam Temperature ◽  
Elman Neural Network ◽  
Network State ◽  
Cascade Control System ◽  
Better Than

It is difficult for the conventional PID control to adjust with the change of dynamic characteristics of the plants. By combing the state feedback based on Elman neural network state observer and the conventional PID, a new control system was presented in this paper. The unmeasurable states of the system was reconstructed through NN observer, the adaptivabilty of system was improved by state feedback. A simulation for power plant super-heated steam temperature control system using presented method is carried out, and resulting in that the control system performance is better than the conventional cascade control system.

Design of a Temperature Control System Based on Generalized Predictive Control

2015 ◽  
Vol 713-715 ◽  
pp. 897-900
Author(s):  
Yun Feng Peng ◽  
Chang Shu ◽  
Xiang Lin Tan ◽  
Zhi Chao Shao
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Temperature Control ◽  
Pid Control ◽  
Control Method ◽  
Inertial Navigation ◽  
Temperature Control System ◽  
Generalized Predictive Control ◽  
Matlab Simulation

According to the unsatisfied control result in a military inertial navigation platform,a control method combined with generalized predictive control and PID control is proposed,accurate control can be realized in terms of time and temperature. MATLAB simulation is given to illustrate that this method satisfies expected requirements well,and is feasible and available.

scholarly journals Automatic Temperature Control System on Smart Poultry Farm Using PID Method

2021 ◽  
Vol 1 (1) ◽  
pp. 37-43
Author(s):  
Agung Enriko ◽  
Ryan Anugrah Putra ◽  
Estananto
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Control Method ◽  
Weather Conditions ◽  
Temperature Control System ◽  
Poultry Farm ◽  
Control Approach ◽  
Calibration Accuracy

Chicken farmers in Indonesia are facing a problem as a result of the country's harsh weather conditions. Poultry species are very susceptible to temperature and humidity fluctuations. As a result, an intelligent poultry farm is necessary to intelligently adjust the temperature in the chicken coop. A smart poultry farm is a concept in which farmers may automatically manage the temperature in the chicken coop, thereby improving the livestock's quality of life. The purpose of this research is to develop a chicken coop prototype that focuses on temperature control systems on smart poultry farms via the PID control approach. The PID control method is expected to allow the temperature control system to adapt to the temperature within the cage, thereby assisting chicken farmers in their tasks. The sensor utilized is a DHT22 sensor with a calibration accuracy of 96.88 percent. The PID response was found to be satisfactory for the system with Kp = 10, Ki = 0, and KD = 0.1, and the time necessary for the system to reach the specified temperature was 121 seconds with a 1.03 % inaccuracy.

Remote Control System Design for Domestic Wall-Mounted Gas Boiler Based on GSM Modem

2013 ◽  
Vol 650 ◽  
pp. 559-564 ◽  
Author(s):  
Jun Peng Xu ◽  
Xiao Qin Ma ◽  
Hong Shen
Keyword(s):  
Control System ◽  
Remote Control ◽  
Temperature Control ◽  
Control Method ◽  
Temperature Sensing ◽  
Temperature Control System ◽  
Control System Design ◽  
Control Effect ◽  
Indoor Temperature ◽  
Remote Control System

In allusion to the traditional temperature control method for domestic wall-mounted gas boiler, this paper designed a temperature control system with a wireless temperature sensing circuit to transmit the real-time indoor temperature to the controller, effectively solved the problem that the detection temperature is always lower than the indoor temperature, and guaranteed the temperature control effect of the wall-mounted gas boiler. Furthermore this temperature control system can set the temperature at home, while users can remotely start and stop the heating of the gas boiler by mobile phone.

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.

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