Temperature Control System of the Thermal Analyzer Based on Fuzzy PID Controller

Dong, Zhixue; Su, Yila; Yan, Xiangyong

doi:10.1109/his.2009.123

Cited by 10 publications

(8 citation statements)

References 6 publications

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“…The experimental results are as follows: (1) the temperature control precision of the whole system is very high, and the total error can be controlled within 1%. (2) in the low temperature stage, the temperature error is relatively high, can reach up to 1%, while in the high temperature, with the increase of the base, the relative error is reduced. (3 …”

Section: Experiments and Results Analysismentioning

confidence: 99%

Experimental Study of Temperature Control System for Electric Heating Furnace

Zhang¹,

Xu²

2017

Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

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Abstract. Accurate and rapid control of the temperature of electric heating furnace in industrial production has important practical significance and application value. In this paper, the electric heating furnace temperature control system is designed based on C51 microcontroller, equipped with temperature sensors, AD conversion module and display module. The incremental PID algorithm is adopted to realize the temperature control of the electric heating furnace and the experimental study for the controlling accuracy and stability of this system has been done, Experiments show that: in the 0-500 ℃ range, electric heating furnace temperature control time is 60s, temperature control relative error of up to 1% and the stability is controlled within 2.3%.

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Section: Experiments and Results Analysismentioning

confidence: 99%

Experimental Study of Temperature Control System for Electric Heating Furnace

Zhang¹,

Xu²

2017

Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

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“…The transducer controls the motor to drive the screw, and monitors the electricity of the motor. Through monitoring the pressure and the temperature of the barrel, the PLC controls the temperature to maintain constant, so the quality of the materials is ensured [9,10]. The framework of the hardware of the temperature control system is shown in fig.3.…”

Section: B Temperature Controlmentioning

confidence: 99%

Control system of the film casting based on the fieldbus

Sun

Fan

2010

2010 IEEE International Conference on Mechatronics and Automation

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In this paper, the technology of the film casting is briefly introduced. According to the requirements of the system, an automatic control system is designed.In the system, PLC and host computer are used as the core,and the Profibus-DP fieldbus is used to communication.The overall framework of the control system is introduced in the paper, and the control strategy of the tension and the speed synchronization is put forward, using the fuzzy PID intelligent control algorithm. Practice has proved that the control system has good results.

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“…When the difference between target temperature and actual temperature is greater than the set maximum error, Bang-Bang control is used to control the module. When the difference between target temperature and actual temperature is less than the set minimum error, the steady-state performance is needed to be considered and should be switched to the Fuzzy-PID control [7]. The basic principle of controlling temperature of PCR modular is as showed in Fig.…”

Section: Temperature Control Algorithm Simulation and Comparementioning

confidence: 99%

Research of temperature control algorithm in PCR gene amplify instrument

Liu

Guo

Deng

et al. 2011

International Symposium on Bioelectronics and Bioinformations 2011

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To achieve stable and accurate temperature control in PCR gene amplify instrument, A complex PID control algorithm, including Bang-Bang control and Fuzzy-PID control algorithm, was proposed in this paper to improve the control dynamical and stable ability. The hardware of PCR gene amplify instrument and PID controller and fuzzy logic reasoning are introduced in this paper. The process of PID controller, fuzzy logic PID controller and fuzzy logic velocity PID controller controls nonlinearity system are emulated respectively with MATLAB SIMULINK, so that the control result can be compared. Experiments in the self-made PCR gene amplify instrument manifest fuzzy logic velocity PID is the most stable and accurate temperature control algorithm.

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Temperature Control System of the Thermal Analyzer Based on Fuzzy PID Controller

Cited by 10 publications

References 6 publications

Experimental Study of Temperature Control System for Electric Heating Furnace

Experimental Study of Temperature Control System for Electric Heating Furnace

Control system of the film casting based on the fieldbus

Research of temperature control algorithm in PCR gene amplify instrument

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