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Heuristic Optimization of Multipulse Rectifier for Reduced Energy Consumption

  • École de technologie supérieure
  • King Saud University
  • Taif University

Research output: Contribution to journal › Article › peer-review

34 Citations (Scopus)

Abstract

Intelligent Manufacturing 5.0 of multipulse rectifier systems requires them to be optimized for a variety of use in transportation and factories producing hearty touch technology. The research presented in this article show advances of using heuristic models to set 12-pulse and 24-pulse rectifiers to work under low- and high-voltage load. As a result of heuristic optimization electric systems increase efficiency and reduce energy consumption by efficiency benefits in adopting artificial intelligence. Applied heuristic models helped in computer simulations to optimize system settings in a short time. Results show that optimized models are more efficient and our proposed approach is reducing voltage pulsation. As a result optimized system improves electromagnetic compatibility for beneficial use in modern industry and sensible human-machine cooperation.

Original languageEnglish
Pages (from-to)5515-5526
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Volume18
Issue number8
DOIs
Publication statusPublished - 1 Aug 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Industry 5.0
  • multipulse rectifier system
  • optimization
  • swarm intelligence

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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