Optimal weighting factor design based on entropy technique in finite control set model predictive torque control for electric drive applications

Abstract In the conventional finite control set model predictive torque control, the cost function consists of different control objectives with varying units of measurements. Due to presence of diverse variables in cost function, weighting factors are used to set the relative importance of these ob...

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Autori principali:	Muhammad Bilal Shahid, Weidong Jin, Muhammad Abbas Abbasi, Lian Li, Akhtar Rasool, Abdul Rauf Bhatti, Abdulkerim Sherefa Hussen
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2024-06-01
Serie:	Scientific Reports
Soggetti:	Model predictive torque control (MTPC) Weighting factor Multi-decision making criteria Entropy method Induction motor
Accesso online:	https://doi.org/10.1038/s41598-024-63694-5
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