Smart Solutions: A New Direct Current Electric Machine Design to Reduce Weight and Enhance Efficiency. [PDF]
This article introduces a smart solution for the design of a brush DC motor with a winding‐free rotor (DCFR). The proposed model simplifies manufacturing, reduces material costs, and enhances efficiency. Designed for variable speed and solar power applications, the DCFR achieves 91.8% efficiency and a 21% weight reduction compared to conventional ...
Ivliev D +5 more
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Design of sliding mode model predictive dual-loop control through self-learning strategy to mitigate the torque ripple in BLDC motor for electric vehicles. [PDF]
Prabhu N, Rajaram T, Ashok B.
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Investigation of magnetic orientation effects on interior rotor BLDC motor performance for EVs: a response surface methodology approach. [PDF]
Chandra V +3 more
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ETNeXt: integrated feature engineering and classification framework for BLDC motor fault detection. [PDF]
Celik B, Taskin E, Akbal A, Ozdemir M.
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BLDC motor's speed and torque modelling through hybrid machine learning based approach of nonlinear autoregressive neural network with exogenous inputs (NARX-NN). [PDF]
Khan MA, Ali H, Baig DE, Albogamy FR.
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Analysis of Stator Material Influence on BLDC Motor Performance. [PDF]
Ziemiański D +2 more
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A novel delay-affected two degree of freedom PID controller using physics-inspired optimization for robust control applications. [PDF]
Yüksek G.
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Torque and speed prediction of a brushless direct current motor using nonlinear autoregressive with exogenous inputs and neural network. [PDF]
Khan MA, Baig DE, Ali H, Albogamy FR.
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Predictive Maintenance System to RUL Prediction of Li-Ion Batteries and Identify the Fault Type of Brushless DC Electric Motor from UAVs. [PDF]
Andrioaia DA.
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Enhancing power efficiency in BLDC motor drives for drones using multiview learning with hybrid optimization algorithms. [PDF]
Gopalakrishnan A, Thottungal R.
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