Comparative Study between the PID Regulator and the Fuzzy Regulator Applied to the Operation of a Brushless DC Motor

Sall, Mamadou; Kebe, Abdoulaye; Gueye, Ibrahima; Diop, Moustapha

doi:10.4236/epe.2021.1311025

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…In order to capture the uncertainty in AFs, fuzzy AFs came into being, such as [8] [9] [10] [11], in which arguments and attacks are associated with fuzzy degrees or trust degrees to indicate the trust degrees. Fuzzy argumentation system involves the theories of fuzzy sets [12], fuzzy logic [13], control and decision-making [14], etc.…”

Section: Introductionmentioning

confidence: 99%

Comparative Semantics of Fuzzy Argumentation under the &#321;ukasiewicz t-Norm

Zhao¹

2022

ENG

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Dung's theory of argumentation frameworks (AF) has been applied in many fields of artificial intelligence. The arguments and attack relation are generally partly believed due to the uncertainty in the process of mining them. Fuzzy AFs catch uncertainty in AFs by associating fuzzy degrees with the arguments or the attacks. Among the various semantics of fuzzy AFs, the comparative semantics develops and defines Dung's extensions in the form of fuzzy sets. However, the comparative semantic system only puts forward some basic concepts, and has not been deeply studied in terms of algorithms and properties. This paper studies the comparative semantics of fuzzy AFs based on the Łukasiewicz t-norm in a more in-depth and comprehensive manner. This work is not only a supplement and improvement to comparative semantic in theory, but also beneficial to the calculation and fast identification of its various extensions (based on the Łukasiewicz t-norm).

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Section: Introductionmentioning

confidence: 99%

Comparative Semantics of Fuzzy Argumentation under the &#321;ukasiewicz t-Norm

Zhao¹

2022

ENG

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Research on Speed Control of Three-Phase Alternating Current Asynchronous Motor Based on Back Propagation Neural Network Tuning Proportion Integration Differentiation Control

Gao¹,

Yang

2022

Journal of Nanoelectronics and Optoelectronics

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In order to optimize the speed control effect of three-phase AC asynchronous motor, the speed control method of three-phase AC asynchronous motor based on BP neural network tuning PID control is studied. The mathematical model of the three-phase AC asynchronous motor is constructed. After the three-phase AC asynchronous motor is transformed into a computer analytical calculation mode in the mathematical model mode, the current operating speed of the three-phase AC asynchronous motor is measured by the speed tracking measurement method of the three-phase AC asynchronous motor. The speed control method of three-phase AC asynchronous motor based on BP neural network tuning PID control is adopted to realize the speed control of three-phase AC asynchronous motor. The experimental results show that the proposed method can accurately measure the current running speed of three-phase AC asynchronous motor and complete the speed regulation of three-phase AC asynchronous motor within 15 s. It has significant application value in similar methods.

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The Fuzzy PID Controller Performance in BLDC Motor Rotor Speed Variable

Sutarna

Purwanti

Suhadha

2022

2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

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Comparative Study between the PID Regulator and the Fuzzy Regulator Applied to the Operation of a Brushless DC Motor

Cited by 3 publications

References 5 publications

Comparative Semantics of Fuzzy Argumentation under the &#321;ukasiewicz t-Norm

Comparative Semantics of Fuzzy Argumentation under the &#321;ukasiewicz t-Norm

Research on Speed Control of Three-Phase Alternating Current Asynchronous Motor Based on Back Propagation Neural Network Tuning Proportion Integration Differentiation Control

The Fuzzy PID Controller Performance in BLDC Motor Rotor Speed Variable

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Comparative Study between the PID Regulator and the Fuzzy Regulator Applied to the Operation of a Brushless DC Motor

Cited by 3 publications

References 5 publications

Comparative Semantics of Fuzzy Argumentation under the &amp;#321;ukasiewicz t-Norm

Comparative Semantics of Fuzzy Argumentation under the &amp;#321;ukasiewicz t-Norm

Research on Speed Control of Three-Phase Alternating Current Asynchronous Motor Based on Back Propagation Neural Network Tuning Proportion Integration Differentiation Control

The Fuzzy PID Controller Performance in BLDC Motor Rotor Speed Variable

Contact Info

Product

Resources

About

Comparative Semantics of Fuzzy Argumentation under the Łukasiewicz t-Norm

Comparative Semantics of Fuzzy Argumentation under the Łukasiewicz t-Norm