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]
Sci RepPrabhu N, Rajaram T, Ashok B.
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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]
PLoS OneKhan MA, Ali H, Baig DE, Albogamy FR.
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Investigation of magnetic orientation effects on interior rotor BLDC motor performance for EVs: a response surface methodology approach. [PDF]
Sci RepChandra V +3 more
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Analysis of Stator Material Influence on BLDC Motor Performance. [PDF]
Materials (Basel)Ziemiański D +2 more
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ETNeXt: integrated feature engineering and classification framework for BLDC motor fault detection. [PDF]
Sci RepCelik B, Taskin E, Akbal A, Ozdemir M.
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MODELLING AND CONTROLLING OF BLDC MOTOR
International Journal of Advance Engineering and Research Development, 2016 openaire +1 more source
A novel delay-affected two degree of freedom PID controller using physics-inspired optimization for robust control applications. [PDF]
Sci RepYüksek 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]
Sci RepKhan 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]
Sensors (Basel)Andrioaia DA.
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Enhancing power efficiency in BLDC motor drives for drones using multiview learning with hybrid optimization algorithms. [PDF]
Sci RepGopalakrishnan A, Thottungal R.
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