Optimization-Based Flux Linkage Control for Torque Ripple Reduction in Switched Reluctance Machines

This work presents an optimization-based control strategy for reducing torque ripple in switched reluctance motors (SRMs), which are often affected by high ripple and acoustic noise. The proposed approach consists of two stages. First, optimal flux waveforms are generated offline as outer flux linka...

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Vydané v:	IEEE access Ročník 13; s. 146932 - 146943
Hlavní autori:	Carvajal, Andres, Angulo, Alejandro, Juliet, Jorge
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Acoustic noise Algorithms Control algorithms Control systems Control theory Couplings Electric motors Error reduction Mathematical models Mixed integer mixed–integer quadratically constrained programming Optimal switching sequence model predictive control Optimization Predictive control Radial basis function Reluctance machinery Reluctance motors Ripples Rotors switched reluctance machines Switches Switching frequency Switching sequences Torque Torque measurement torque ripple minimization Tracking Waveforms
ISSN:	2169-3536, 2169-3536
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