Design of Water Bath Temperature Control System Based on DS18B20

2012 ◽  
Vol 462 ◽  
pp. 753-756
Author(s):  
Zhi Yong Zhang ◽  
Tie Liang Guo

The features and working principle of single-wire digital temperature sensor DS18B20 are introduced. Through applying single chip microcontroller AT89C51, the water bath temperature control system is designed based on DS18B20. The paper also gives the structure of the hardware device, main design of software and the C51 program of DS18B20. In the end, the experimental result shows that the DS18B20 system has a higher accuracy.

2014 ◽  
Vol 631-632 ◽  
pp. 743-746
Author(s):  
Wen Biao Wang ◽  
Zhan Yuan Ge ◽  
Si Yuan Wang ◽  
Shuang Chen

Aiming at the water bath temperature control system of great inertia, pure time-delay, non-linear and time changeable characteristics, a kind of simple and practical control algorithm is put forward in this paper:ITGC (Intelligent Track Guiding Control). ITGC and PID control system was carried out respectively step response test and the disturbance test in the MATLAB/SIMULINK simulation platform; And can be successfully applied in practical projects. Studies have shown that: ITGC control on the overshoot and adjustment time are better than the conventional PID method, the control scheme has stronger robustness and anti-jamming capability under various operating conditions and an increase in external disturbance case. Successfully resolved the difficulty of time-varying parameters and large lag in the temperature control system.


2010 ◽  
Vol 29-32 ◽  
pp. 349-353
Author(s):  
Jing Tang ◽  
En Xing Zheng

The paper designs a temperature control system based on AT89C51 and DS18B20. The design uses the DS18B20 digital temperature sensor as the temperature acquisition unit and the AT89C51 microcontroller unit to control them, not only have the advantages that easy to control and with good flexibility, but also can greatly enhance the controlled temperature index.


2020 ◽  
Vol 194 ◽  
pp. 01016
Author(s):  
Qing Wang ◽  
Lili Zhou

With the rapid development of automation control technology, the majority of enterprises have begun to introduce automation equipment, but in some photovoltaic cell production in the enterprise, for the crystal silicon pile of temperature control in the process is still in the traditional way of manual control, this way of temperature control for the employee’s personal safety demand is higher, there is a certain risk. Aimed at this problem, this paper designed a crystal silicon velvet temperature control system based on MCU, the system consists of DS18B20 temperature sensor, 51 single chip microcomputer, sound and light alarm system, LCD1602 display module and motor drive module, the implementation of the system of velvet groove temperature monitoring, to ensure that the quality of the crystal silicon cell, through the simulation test system is stable, reliable and has certain practical application and popularization value.


2012 ◽  
Vol 268-270 ◽  
pp. 1406-1409
Author(s):  
Jun Liu ◽  
Zhen Wei Jia ◽  
Rong Xing Guo

This paper is to design a kind of temperature control system that could satisfy the requirement of baking equipment used for farm product. The system installed an AT89S51 single chip microcomputer as controller. The structure of the system was loop-locked and the temperature was detected by a team of DS18B20 digital sensors. The simulation of the temperature control system was implemented by the Simulink. The result indicates that the system can realize the function of controlling the temperature variation of the baking house.


2013 ◽  
Vol 340 ◽  
pp. 517-522
Author(s):  
Yong Wei Lu

it is hard to establish the accurate model by using the traditional PID algorithm, and hard to adjust the system parameter in nonlinear system. In order to solve this problem, this paper proposed PID algorithm based on Fuzzy Neural Network. This algorithm combined PID algorithm, fuzzy control algorithm and neural network algorithm together, and formed one kind intelligent control algorithm. This paper designed and researched this algorithm, and applied in the PLC temperature control system. The experimental result indicated that the fuzzy neural network PID controller improved the controller quality, conquered some question such as variable parameter and nonlinear, and enhanced the systems robustness.


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