Fuzzy supervised online coactive neuro‐fuzzy inference system‐based rotor position control of brushless DC motor-Reference-Cited by-同舟云学术

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Fuzzy supervised online coactive neuro‐fuzzy inference system‐based rotor position control of brushless DC motor

Published:2016-09 Issue:11 Volume:9 Page:2229-2239
ISSN:1755-4543
Container-title:IET Power Electronics
language:en
Short-container-title:IET Power Electronics

Author:

John Prabu M.¹,Poongodi P.²,Premkumar K.³

Affiliation:

1. Municipal Administration & Water Supply DepartmentUdumalpet MunicipalityTamilnaduIndia

2. Department of Electronics and Communication EngineeringKarpagam College of EngineeringCoimbatoreTamilnaduIndia

3. Department of Electrical and Electronics EngineeringRajalakshmi Engineering CollegeChennaiTamilnaduIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-pel.2015.0919

Reference21 articles.

1. Reduced sensor configuration of brushless DC motor drive using a power factor correction‐based modified‐zeta converter

2. Improved power quality bridgeless Cuk converter fed brushless DC motor drive for air conditioning system

3. Off‐line tuning of a PI speed controller for a permanent magnet brushless DC motor using DSP;Demirtas M.;Energy Convers. Manage.,2011

4. Current control of brushless DC motor based on a common DC signal for space operated vehicles;Karthikeyan J.;Int. J. Electr. Power Energy Syst.,2011

5. Brushless DC motor drives supplied by PV power system based on Z‐source inverter and FL‐IC MPPT controller;Mozaffari Niapour S.A.K.H.;Energy Convers. Manage.,2011

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