Reduction of Commutation Torque Ripple in Sensorless Brushless DC Motor using Fuzzy Logic Controller

This research Paper proposes the Brushless DC motors control (BLDC) could accomplish higher execution looking into effectiveness in examination for old brushed DC motor controlling which is difficult to control because it requires a phase for switching circuit. This work proposes a fuzzy logic control for brushless DC motor for axis based on Hall Effect by applying sensor control system and also it produces brushless motor for rearranging the three phase conduction mode model. At long last this paper may be with create efficient control methodologies on enhance driving dynamics on the mechanical dynamic consider of propulsion method. The recommended control method stabilizes those controls services (speeds) done by controller of brushless DC motor drive (BLDC). On behalf of settling 2 wheels also physical favorable circumstances of BLDC motors are associated straight forwardly of the tires by improving the rotor speed. The parameters such as power factor, rotor speed, torque ripple, EMF is compensated & simulation results are tabulated.

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Research on Reduction of Commutation Torque Ripple in Brushless DC Motor Drives Based on Fuzzy Logic Control

2009 International Conference on Computational Intelligence and Security ◽

10.1109/cis.2009.158 ◽

2009 ◽

Cited By ~ 3

Author(s):

Soumah Yaya ◽

Wang Honghua

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Control ◽

Torque Ripple ◽

Dc Motor ◽

Motor Drives ◽

Brushless Dc Motor ◽

Brushless Dc ◽

Logic Control ◽

Dc Motor Drives ◽

Commutation Torque Ripple

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A Hybrid Moth-Flame Fuzzy Logic Controller Based Integrated Cuk Converter Fed Brushless DC Motor for Power Factor Correction

Electronics ◽

10.3390/electronics7110288 ◽

2018 ◽

Vol 7 (11) ◽

pp. 288 ◽

Cited By ~ 11

Author(s):

Kuditi Kamalapathi ◽

Neeraj Priyadarshi ◽

Sanjeevikumar Padmanaban ◽

Jens Holm-Nielsen ◽

Farooque Azam ◽

...

Keyword(s):

Fuzzy Logic ◽

Power Factor ◽

Fuzzy Logic Controller ◽

Power Factor Correction ◽

Research Work ◽

Torque Ripple ◽

Dc Motor ◽

Brushless Dc Motor ◽

Cuk Converter ◽

Brushless Dc

This research work deals with a hybrid control system based integrated Cuk converter fed brushless DC motor (BLDCM) for power factor correction. In this work, moth-flame optimization (MFO) and a fuzzy logic controller (FLC) have been combined and a moth-flame fuzzy logic controller (MFOFLC) has been proposed. Firstly, the BLDC motor modeling is composed with the power factor correction (PFC) based integrated Cuk converter and BLDC speed is regulated using variable DC-Link inverter voltage which results in a low switching operation with fewer switched losses. Here, with the use of a switched inductor, the task and execution of the proposed converter is redesigned. The DBR (diode bridge rectifier) trailed by a proposed PFC based integrated Cuk converter operates in discontinuous inductor conduction mode (DICM) for achievement of better power factor. MFO is exhibited for gathering of a dataset from the input voltage signal. At that point, separated datasets are sent to the FLC to improve the updating function and minimization of torque ripple. However, our main objective is to assess adequacy of the proposed method, but the power factor broke down. The execution of the proposed control methodology is executed in the MATLAB/Simulink working platform and the display is assessed with the existing techniques.

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Hybrid Moth-Flame Fuzzy Logic Controller Based Integrated Cuk Converter Fed Brushless DC Motor for Power Factor Correction

10.20944/preprints201809.0462.v1 ◽

2018 ◽

Author(s):

K. Kamalapathi ◽

Neeraj Priyadarshi ◽

Sanjeevikumar Padmanaban ◽

Farooque Azam ◽

C. Umayal ◽

...

Keyword(s):

Fuzzy Logic ◽

Power Factor ◽

Fuzzy Logic Controller ◽

Power Factor Correction ◽

Research Work ◽

Torque Ripple ◽

Dc Motor ◽

Brushless Dc Motor ◽

Cuk Converter ◽

Brushless Dc

This research work deals hybrid control system based integrated Cuk converter fed brushless DC motor (BLDCM) for power factor correction. In this work, moth-flame optimization (MFO) and fuzzy logic controller (FLC) has been combined and moth –flame fuzzy logic controller (MFOFLC) has been proposed. Firstly, the BLDC motor modelling is composed with power factor correction (PFC) based integrated Cuk converter and BLDC speed is regulated using variable DC-Link inverter voltage which makes low switching operation with less switched losses. Here, with the use of switched inductor, the task and execution of proposed converter is redesigned. The DBR (diode bridge rectifier) trailed by proposed PFC based integrated Cuk converter operates in discontinuous inductor conduction mode(DICM) for achievement of better power factor.MFO is exhibited for gathering of dataset from the input voltage signal. At that point separated datasets is send to FLC to improve the updating function and minimization of torque ripple. However, our main objective is to assess adequacy of proposed method, the power factor is broke down. The execution of the proposed control methodology is executed in MATLAB/Simulink working platform and the display is assessed with the existing techniques.

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