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More Robust and Reliable Optimized Energy Conversion Facilitated through Electric Machines, Power Electronics and Drives, and Their Control: State-of-the-Art and Trends

Gerd Bramerdorfer, Gang Lei, Andrea Cavagnino, Yongchang Zhang, J.K. Sykulski, David A. Lowther

2020IEEE Transactions on Energy Conversion54 citationsDOI

Abstract

According to the special section entitled `Robust design and analysis of electric machines and drives', to be published in IEEE Transactions on Energy Conversion, the authors present an introduction to tolerance analysis, robust optimization, and measures to improve the reliability of electric machines, power electronics and drives, and their robust control in general. A comprehensive review of modeling uncertainties and evaluating robustness and reliability based measures is presented. In addition, techniques facilitating solving dedicated optimization scenarios are introduced. The most recent research activities will be illustrated. The article thus enables to easily catch up with the state-of-the-art in these fields and to take notice of ongoing and future work.

Topics & Concepts

Robustness (evolution)NoticePower electronicsReliability (semiconductor)Computer scienceElectronicsControl engineeringRobust controlReliability engineeringEngineeringPower (physics)Control systemElectrical engineeringVoltageGeneLawPhysicsQuantum mechanicsPolitical scienceChemistryBiochemistryAdvanced Battery Technologies ResearchProbabilistic and Robust Engineering DesignReliability and Maintenance Optimization
More Robust and Reliable Optimized Energy Conversion Facilitated through Electric Machines, Power Electronics and Drives, and Their Control: State-of-the-Art and Trends | Litcius