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Direct Back EMF Detection Method for Sensorless Brushless DC (BLDC) Motor Drives

, 2003
Jianwen Shao
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An Enhanced Fault-Tolerant and Autoreconfigurable BLDC Motor Drive for Electric Vehicle Applications

IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 2023
Semiconductor switching devices are susceptible to open-circuit (OC) and short-circuit (SC) faults, adversely affecting the reliability of power converters.
Patnana Hema Kumar, V. Somasekhar
semanticscholar   +1 more source

Whale Optimization Algorithm for PV Based Water Pumping System Driven by BLDC Motor Using Sliding Mode Controller

IEEE Journal of Emerging and Selected Topics in Power Electronics, 2022
Water pumping system (WPS) plays a key role in human civilization, including agriculture, drinking, and industrial usage. To decrease the load demand on grid and provide electrical supply to WPS in rural areas, a locally placed standalone photovoltaic ...
S. G. Malla, Priyanka Malla, J. M. Malla, Ruchira Singla, P. Choudekar, Rajesh Koilada, M. K. Sahu   +6 more
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Speed Control of BLDC Motor Using PI Controller

2023 International Conference for Advancement in Technology (ICONAT), 2023
Permanent Magnet Brushless DC (BLDC) motors have major application in industries like E-mobility (Electrical vehicles, Electric bicycle), Industrial robots, CNC machine tools in the last decade.
B. Bairwa, Madan Murari, Mahammadgous Shahapur, K. R, Md.Firdosh Khan   +4 more
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Fault-Tolerant Control Methods for Reduced Torque Ripple of Multiphase BLDC Motor Drive System Under Open-Circuit Faults

IEEE transactions on industry applications, 2022
Multiphase brushless direct current (BLdc) motors with high efficiency and power density are widely used in electric propulsion systems of a wide variety of applications including electric vehicles, submarines, and electric ships.
Hyeoncheol Park, Taeyun Kim, Y. Suh
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Deep Learning Based Predictive Analysis of BLDC Motor Control

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), 2022
Predictive Analysis using deep learning techniques are emerging in several engineering domains. Artificial Neural Networks consists of network of layers to learn, process and predict from the data.
T. Porselvi, Aouthithiye Barathwaj, CS SaiGanesh, Tresa Sangeetha, Shalini Priya   +4 more
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Comparative analysis of Speed control of BLDC motor using PWM and Current Control Techniques

2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET), 2022
BLDC Motors are among the many possible solutions employed in electric vehicle applications. Brushless DC motor are featured in 2-wheeler segment and light load vehicles catering to majority of courier industry and ride hailing providers.
Gopal Gupta, M. Sreejeth
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Speed Control of BLDC motor using Fuzzy Logic Algorithm for Low Cost Electric Vehicle

2022 International Conference on Innovations in Science and Technology for Sustainable Development (ICISTSD), 2022
Due to day by day increase in carbon emission, recently electric vehicles play major role in automobile industry. The BLDC motor based drives are effective for running an electric vehicle.
Kavuri Poornesh, R. Mahalakshmi, Jayadeep Sai Ram V, Gunavardhan Reddy N   +3 more
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Sensorless Control Methods for BLDC Motor Drives: A Review

IEEE Transactions on Transportation Electrification
Permanent magnet motors, such as brushless dc (BLDC) motors, are widely adopted in today’s industry for their high power density, torque-to-weight ratio, and uncomplicated design.
Milad Akrami, Ehsan Jamshidpour, Babak Nahid-Mobarakeh, Serge Pierfederici, Vincent Frick   +4 more
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