A Temperature Control Method of Electric Heating Furnace Based on Fuzzy PID

Hu, Dawei; Liu, Hengyu; Zhu, Yifei; Li, Qingxin; Wang, Daming; Zhang, Zhongrui; Sun, Jiazheng; Yang, Liu; Zhang, Zhe; Yuan, Jiahui

doi:10.1088/1742-6596/2503/1/012101

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…The output variable is obtained through quantification factors, fuzzy processing, and de-fuzzification processing by a fuzzy controller, along with a proportional factor. The calculation formulas for the adjusted P I d K ,K ,K are as follows [12]: In Figure 2, it can be seen that the control process of the fuzzy controller mainly includes fuzzification, fuzzy inference, and defuzzification.…”

Section: Fuzzy Controllermentioning

confidence: 99%

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Fast-Frequency-Response Control Method for Electrode Boilers Supporting New Energy Accommodation

Shi,

Chen,

Guo

et al. 2023

Processes

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With the large-scale integration of new energy generation, represented by wind and photovoltaic power, into the power grid, the intermittency, randomness, and fluctuations of their output pose significant challenges to the safe and stable operation of the power system. Therefore, this paper proposes a control method for electrode boiler systems participating in rapid grid frequency response based on a fuzzy control strategy. This method improves the traditional electrode boiler control strategy, giving it characteristics similar to those of synchronous generators in terms of active power–frequency droop, allowing it to actively adjust active power based on system frequency disturbances. Furthermore, it optimizes its control performance indicators using fuzzy algorithms. The simulation results on the Matlab/Simulink platform demonstrate that the modified electrode boiler control system, when applying this method, can effectively address power disturbances in the system, reduce system frequency deviations, and contribute to enhancing the grid frequency regulation capability and system stability.

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Section: Fuzzy Controllermentioning

confidence: 99%

Section: Fuzzy Controllermentioning

confidence: 99%

Fast-Frequency-Response Control Method for Electrode Boilers Supporting New Energy Accommodation

Shi,

Chen,

Guo

et al. 2023

Processes

View full text Add to dashboard Cite

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“…The structure of the adaptive fuzzy PID controller is shown in In the electric boiler temperature control system, the fuzzy controller adopts the twodimensional Mamdani controller with Max-Min for fuzzy control decision-making and the center of gravity method for defuzzification (Hu et al, 2023;Tan et al, 2004).…”

Section: Fuzzy Pid Controller Designmentioning

confidence: 99%

Development of a Matlab-Based Fuzzy PID Controller and The Simulation

Arafat

2023

IJEC

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Fuzzy PID control is a process control technique combining the advantages of fuzzy logic and PID control. It maintains precise control over processes by combining fuzzy logic and proportional-integral-derivative (PID) controllers. With this method, it is possible to achieve higher levels of accuracy and stability in controlling process variables such as temperature, pressure, flow rate, and position. This makes Fuzzy PID control an ideal cordial application requiring precise process control. Fuzzy PID control uses the PID parameter tuning experience to make the fuzzy controller automatically tune its parameters, giving PID control a better control effect. In this paper, a fuzzy PID controller is designed to control the temperature of an electric boiler. The control effects of PID control, fuzzy control, and fuzzy PID control are compared by simulation analysis. The simulation results show that the unclear PID control effect is ideal and has a good application prospect.

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