D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 48 Citations 10,762 452 World Ranking 1329 National Ranking 44

Research.com Recognitions

Awards & Achievements

2013 - IEEE PELS Harry A. Owen, Jr. Distinguished Service Award For dedicated services to IEEE PELS conferences, workshops and chapter activities around the globe

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Electrical engineering
  • Voltage

Control theory, Model predictive control, Torque, Control engineering and Direct torque control are his primary areas of study. His Control theory study combines topics in areas such as Vector control, Stator, Voltage, Electronic engineering and Magnet. His work carried out in the field of Model predictive control brings together such families of science as Permanent magnet synchronous generator, Wind power, Converters, Pulse-width modulation and Power electronics.

His biological study spans a wide range of topics, including Torque ripple, Induction motor, Function and Test bench. Ralph Kennel has researched Control engineering in several fields, including Control system, Digital control, Realization and Observer. Ralph Kennel has included themes like MRAS, Inverter and Machine control in his Direct torque control study.

His most cited work include:

  • Predictive Control in Power Electronics and Drives (1182 citations)
  • High-Performance Control Strategies for Electrical Drives: An Experimental Assessment (308 citations)
  • An Improved FCS–MPC Algorithm for an Induction Motor With an Imposed Optimized Weighting Factor (234 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Control theory, Model predictive control, Torque, Control engineering and Voltage. His work carried out in the field of Control theory brings together such families of science as Vector control, Direct torque control, Inverter and Stator. His Model predictive control study incorporates themes from Wind power, Converters, Power electronics, Function and Robustness.

His Torque research includes themes of Induction motor, Synchronous motor, Machine control, Torque ripple and Observer. His biological study spans a wide range of topics, including Control system and Control. The concepts of his Voltage study are interwoven with issues in Electronic engineering and Topology.

He most often published in these fields:

  • Control theory (74.88%)
  • Model predictive control (39.75%)
  • Torque (20.83%)

What were the highlights of his more recent work (between 2018-2021)?

  • Control theory (74.88%)
  • Model predictive control (39.75%)
  • Voltage (17.49%)

In recent papers he was focusing on the following fields of study:

Ralph Kennel mainly focuses on Control theory, Model predictive control, Voltage, Control theory and Torque. His Control theory research is multidisciplinary, incorporating elements of Weighting, Voltage reference and Inverter. The study incorporates disciplines such as Induction motor, Converters, Observer, Function and Rotor in addition to Model predictive control.

His studies in Voltage integrate themes in fields like Control and Topology. His research in Torque intersects with topics in Work, Torque ripple and Trajectory. The Robustness study combines topics in areas such as Vector control, Wind power and Inductance.

Between 2018 and 2021, his most popular works were:

  • A Very Simple Strategy for High-Quality Performance of AC Machines Using Model Predictive Control (75 citations)
  • Parallel Predictive Torque Control for Induction Machines Without Weighting Factors (23 citations)
  • Efficient Direct-Model Predictive Control With Discrete-Time Integral Action for PMSGs (23 citations)

In his most recent research, the most cited papers focused on:

  • Control theory
  • Electrical engineering
  • Voltage

Ralph Kennel spends much of his time researching Control theory, Model predictive control, Robustness, Torque and Control theory. His work deals with themes such as Rotor and Voltage, which intersect with Control theory. Ralph Kennel has researched Model predictive control in several fields, including Observer, Voltage reference, Function and Maximum power point tracking.

His Robustness research is multidisciplinary, relying on both Power electronics and Inductance. His study in Torque is interdisciplinary in nature, drawing from both Vector control, Weighting, Work, Space and Fourier series. Ralph Kennel has included themes like Transient and Electronic speed control in his Control theory study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Predictive Control in Power Electronics and Drives

P. Cortes;M.P. Kazmierkowski;R.M. Kennel;D.E. Quevedo.
IEEE Transactions on Industrial Electronics (2008)

1492 Citations

High-Performance Control Strategies for Electrical Drives: An Experimental Assessment

J. Rodriguez;R. M. Kennel;J. R. Espinoza;M. Trincado.
IEEE Transactions on Industrial Electronics (2012)

413 Citations

An Improved FCS–MPC Algorithm for an Induction Motor With an Imposed Optimized Weighting Factor

S. A. Davari;D. A. Khaburi;R. Kennel.
IEEE Transactions on Power Electronics (2012)

323 Citations

Sensorless speed and position control of synchronous machines using alternating carrier injection

M. Linke;R. Kennel;J. Holtz.
international electric machines and drives conference (2003)

279 Citations

Finite-Control-Set Model Predictive Torque Control With a Deadbeat Solution for PMSM Drives

Wei Xie;Xiaocan Wang;Fengxiang Wang;Wei Xu.
IEEE Transactions on Industrial Electronics (2015)

243 Citations

Sensorless position control of permanent magnet synchronous machines without limitation at zero speed

M. Linke;R. Kennel;J. Holtz.
conference of the industrial electronics society (2002)

227 Citations

Generalized predictive control (GPC)-ready for use in drive applications?

R. Kennel;A. Linder;M. Linke.
power electronics specialists conference (2001)

226 Citations

Model-Based Predictive Control of Electric Drives

Arne Linder;Rahul Kanchan;Peter Stolze;Ralph Kennel.
(2010)

215 Citations

Model-Based Predictive Direct Control Strategies for Electrical Drives: An Experimental Evaluation of PTC and PCC Methods

Fengxiang Wang;Shihua Li;Xuezhu Mei;Wei Xie.
IEEE Transactions on Industrial Informatics (2015)

211 Citations

Using Full Order and Reduced Order Observers for Robust Sensorless Predictive Torque Control of Induction Motors

S. A. Davari;D. A. Khaburi;Fengxiang Wang;R. M. Kennel.
IEEE Transactions on Power Electronics (2012)

192 Citations

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Best Scientists Citing Ralph Kennel

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ABB (Switzerland)

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Yongchang Zhang

Yongchang Zhang

North China University of Technology

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Dianguo Xu

Dianguo Xu

Harbin Institute of Technology

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Pericle Zanchetta

Pericle Zanchetta

University of Nottingham

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Silverio Bolognani

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University of Padua

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Jose Espinoza

Jose Espinoza

University of Concepción

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Patrick Wheeler

Patrick Wheeler

University of Nottingham

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Bin Wu

Bin Wu

Toronto Metropolitan University

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Federico Barrero

Federico Barrero

University of Seville

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Jianguo Zhu

Jianguo Zhu

University of Sydney

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Daniel E. Quevedo

Daniel E. Quevedo

Queensland University of Technology

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Mark Sumner

Mark Sumner

University of Nottingham

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Robert D. Lorenz

Robert D. Lorenz

University of Wisconsin–Madison

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