Hybrid adaptive ant lion optimization with traditional controllers for driving and controlling switched reluctance motors to enhance performance. [PDF]
Sci RepJabari M +5 more
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Reducing torque ripple for switched reluctance motors by current reshaping neural network. [PDF]
Sci RepJing B, Liang G, Dang X, Jiang Y.
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, 2012 This paper presents comparative analysis of several configurations of the switched reluctance motor (SRM) for In-wheel drive of the automotive series hybrid system.
Paulides, J.J.H. +3 more
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An improved finite set model predictive control of SRM drive based on a voltage vectors strategy for low torque ripple. [PDF]
HeliyonMohanraj D, S D, Balachandran PK.
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Robust deadbeat predictive current control for unipolar sinusoidal excited SRM with multi-parameter mismatch compensation. [PDF]
Sci RepLiu D, Fan Y, Liu J, Wang G, Sheng L.
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Full-speed sensorless control system of synchronous reluctance motor with flux saturation model. [PDF]
Sci RepCai H, Luo WJ.
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Experimental analysis of enhanced finite set model predictive control and direct torque control in SRM drives for torque ripple reduction. [PDF]
Sci RepM D +3 more
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An Improved Model Predictive Current Controller of Switched Reluctance Machines Using Time-Multiplexed Current Sensor. [PDF]
Sensors (Basel), 2017 Li B, Ling X, Huang Y, Gong L, Liu C.
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Hybrid TSA-TLBO optimization of an EF<sub>2</sub> resonant DC-DC converter for energy-efficient fuel cell electric vehicles with reduced battery dependency. [PDF]
Sci RepManuel Raj JM +3 more
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Hybrid physics-informed artificial intelligence for high-fidelity modeling and optimization of electrical systems. [PDF]
Front Artif IntellNyangon J.
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