Adaptive PID Temperature Controller Based on Fuzzy Logic

Wang, Juan; Song, Ai Juan; Zhu, Qun Xi

doi:10.4028/www.scientific.net/amm.55-57.1455

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…The fuzzy inference is the key to design a fuzzy controller, and the common Mamdani inference method [5] is adopted in this paper. Language format of the control rules are shown as follows: R: if E=An and EC=Bn then U=Cn.…”

Section: Fuzzy-pid Controllermentioning

confidence: 99%

Temperature Control System Research for Double Roller Heat Sealing Machine Based on the Fuzzy-PID Control

Wang¹,

Cao²

2017

dtetr

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Abstract. In order to ensure the pressing quality and production efficiency of the cotton insulation coating layer film, it is necessary to have an accurate temperature control for double roller heat sealing machine. Due to the characteristics of big inertia, pure time-delay, nonlinearity and imprecise mathematic model, Fuzzy-PID algorithm is proposed based on PLC system. The simulation results show that the proposed strategy improve the output characteristics. These excellent performances are a theoretical basis for further PLC programming.

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Section: Fuzzy-pid Controllermentioning

confidence: 99%

Temperature Control System Research for Double Roller Heat Sealing Machine Based on the Fuzzy-PID Control

Wang¹,

Cao²

2017

dtetr

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Increasing PEM fuel cell performance via fuzzy-logic controlled cascaded DC-DC boost converter

Kart

Demir

Kocaarslan

et al. 2024

International Journal of Hydrogen Energy

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An Integrated IoT LabVIEW Based Fuzzy-PLC Controller for Automation of Boiler

S.Boobalan¹,

Gobinath²,

Dharmalingam³

et al. 2020

IOP Conf. Ser.: Mater. Sci. Eng.

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The proposed prototype, to develop and automate and controlling of steam outlet from the boiler unit in the Power Plants using Fuzzy logic-based PLC Controller. The set point of the steam outlet could be decided by the Fuzzy Logic Controller. Automation is a growing technology in almost all fields and It reduces the man power and time complexity in all the way to the thermal power plant also. It reduces the risk of making mistakes and avoid any danger. The details of the load is collected from P.T and then given to the LabVIEW. The data about the load requirements, peak load data requirements ae once fed into the LabVIEW. The LabVIEW sends signals to the PLC and steam outlet is controlled by Servo Motor. The steam outlet set point is measured and controlled by fuzzy logic with the help to PLC controller. Based on alternator current and voltage signal the fuzzy logic will decide the steam outlet set point. If in case the load requirement is higher or lower, the changes in the coal input and the water requirement are changed by means Fuzzy logic control. The steam valve sensor closes or opens the valve by servo motor using the variable frequency drive that is connected to the PLC. Depending upon the load, to the steam turbine. The PLC is connected to the ethernet by means in LabVIEW, in which the data are collected are given to the authorized person in the control room. If in case required the data can be used to store the data in the cloud for future use.

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Adaptive PID Temperature Controller Based on Fuzzy Logic

Cited by 5 publications

References 8 publications

Temperature Control System Research for Double Roller Heat Sealing Machine Based on the Fuzzy-PID Control

Temperature Control System Research for Double Roller Heat Sealing Machine Based on the Fuzzy-PID Control

Increasing PEM fuel cell performance via fuzzy-logic controlled cascaded DC-DC boost converter

An Integrated IoT LabVIEW Based Fuzzy-PLC Controller for Automation of Boiler

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