Litcius/Paper detail

Heuristic Optimization of Multipulse Rectifier for Reduced Energy Consumption

Marcin Woźniak, Andrzej Sikora, Adam� Zielonka, Kuljeet Kaur, M. Shamim Hossain, Mohammad Shorfuzzaman

2021IEEE Transactions on Industrial Informatics22 citationsDOI

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.

Topics & Concepts

HeuristicComputer scienceEnergy consumptionVoltageEfficient energy useRectifier (neural networks)Electronic engineeringAutomotive engineeringEngineeringElectrical engineeringArtificial intelligenceArtificial neural networkStochastic neural networkRecurrent neural networkDigital Transformation in IndustryInduction Heating and Inverter TechnologyElectric Power Systems and Control