Research on temperature control of heating furnace with intelligent proportional integral derivate control algorithm

Zheng, Fenli; Lu, Yao; Fu, Shan

doi:10.2298/tsci191026081z

Cited by 8 publications

(3 citation statements)

References 3 publications

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“…The REDOX and anti‐inflammatory properties of hops were also studied and the neuroprotective effects of derived hops on beer were summarized. This study was of great significance for ensuring the quality of beer in beer brewing process 11 …”

Section: Related Workmentioning

confidence: 93%

“…This study was of great significance for ensuring the quality of beer in beer brewing process. 11 To sum up, in recent years, many researchers have been studying beer brewing technology, and some research results have been achieved. It involves a wide range of fields and is of great significance to improve the quality and production efficiency of beer.…”

Section: Related Workmentioning

confidence: 99%

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Temperature monitoring system of beer fermentation and brewing based on immune fuzzy PID controller

Song¹,

Meng²,

Chen

2023

Adv Control Appl

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Beer is one of the popular drinks, the temperature control in the process of beer fermentation plays a crucial role. The current temperature control method mainly uses the traditional PID control, but its control adjustment time is long, the overshoot is large, the control effect still needs to be improved. A beer fermentation and brewing temperature monitoring system based on immune fuzzy PID controller was designed in this experiment. Immune fuzzy PID controller is a nonlinear controller, which combines the advantages of traditional PID controller and fuzzy controller and refers to the regulatory mechanism of biological immune system, and obtains good suitable characteristics by controlling the parameter values of the system. PID converts the rule information into fuzzy information by fuzzy basic theory and stores it in computer database. By referring to the actual situation of PID, the computer uses fuzzy reasoning to adjust the PID parameters. The beer fermentation temperature monitoring system based on the traditional PID controller is compared with the proposed system. Under the control of the designed temperature monitoring system, the temperature has a certain effect on the fermentation speed of beer. The fermentation time of high temperature fermentation (16°C) is 3 days shorter than that of normal temperature fermentation (10°C). The robustness and applicability of the system are verified.

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Section: Related Workmentioning

confidence: 93%

Section: Related Workmentioning

confidence: 99%

Temperature monitoring system of beer fermentation and brewing based on immune fuzzy PID controller

Song¹,

Meng²,

Chen

2023

Adv Control Appl

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“…The sintering furnace's temperature control system adopts closed-loop control, takes the expected sintering furnace temperature as the set value, converts the feedback information measured by the temperature sensor into a digital quantity, compares the difference between the quantity of preset temperature and feedback temperature, and sends the result into the PID controller. Afterward, a voltage signal is output to control the relay after arithmetic processing, thereby controlling the furnace temperature [24,25]. The sintering furnace's temperature control system is illustrated in Fig 4 . It uses a thermocouple extension module that integrates temperature acquisition and data processing, with automated linearization processing and cold junction compensation functions.…”

Section: Plos Onementioning

confidence: 99%

Design and fault diagnosis of DCS sintering furnace’s temperature control system for edge computing

Wen

2021

PLoS ONE

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Under the background of modern industrial processing and production, the sintering furnace’s temperature control system is researched to achieve intelligent smelting and reduce energy consumption. First, the specific application and implementation of edge computing in industrial processing and production are analyzed. The industrial processing and production intelligent equipment based on edge computing includes the equipment layer, the edge layer, and the cloud platform layer. This architecture improves the operating efficiency of the intelligent control system. Then, the sintering furnace in the metallurgical industry is taken as an example. The sintering furnace connects powder material particles at high temperatures; thus, the core temperature control system is investigated. Under the actual sintering furnace engineering design, the Distributed Control System (DCS) is used as the basis of sintering furnace temperature control, and the Programmable Logic Controller (PLC) is adopted to reduce the electrical wiring and switch contacts. The hardware circuit of DCS is designed; on this basis, an embedded operating system with excellent performance is transplanted according to functional requirements. The final DCS-based temperature control system is applied to actual monitoring. The real-time temperature of the upper, middle, and lower currents of 1# sintering furnace at a particular point is measured to be 56.95°C, 56.58°C, and 57.2°C, respectively. The real-time temperature of the upper, middle, and lower currents of 2# sintering furnaces at a particular point is measured to be 144.7°C, 143.8°C, and 144.0°C, respectively. Overall, the temperature control deviation of the three currents of the two sintering furnaces stays in the controllable range. An expert system based on fuzzy logic in the fault diagnosis system can comprehensively predict the situation of the sintering furnaces. The prediction results of the sintering furnace’s faults are closer to the actual situation compared with the fault diagnosis method based on the Backpropagation (BP) neural network. The designed system makes up for the shortcomings of the sintering furnace’s traditional temperature control systems and can control the temperature of the sintering furnace intelligently and scientifically. Besides, it can diagnose equipment faults timely and efficiently, thereby improving the sintering efficiency.

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Precision unleashed: Navigating PID control’s dynamic domains

Yin

2024

AIP Conference Proceedings

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Research on temperature control of heating furnace with intelligent proportional integral derivate control algorithm

Cited by 8 publications

References 3 publications

Temperature monitoring system of beer fermentation and brewing based on immune fuzzy PID controller

Temperature monitoring system of beer fermentation and brewing based on immune fuzzy PID controller

Design and fault diagnosis of DCS sintering furnace’s temperature control system for edge computing

Precision unleashed: Navigating PID control’s dynamic domains

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