2013 - IEEE PELS Harry A. Owen, Jr. Distinguished Service Award For dedicated services to IEEE PELS conferences, workshops and chapter activities around the globe
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 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.
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.
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.
Predictive Control in Power Electronics and Drives
P. Cortes;M.P. Kazmierkowski;R.M. Kennel;D.E. Quevedo.
IEEE Transactions on Industrial Electronics (2008)
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)
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)
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)
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)
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)
Generalized predictive control (GPC)-ready for use in drive applications?
R. Kennel;A. Linder;M. Linke.
power electronics specialists conference (2001)
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)
Model-Based Predictive Control of Electric Drives
Arne Linder;Rahul Kanchan;Peter Stolze;Ralph Kennel.
Deadbeat Model-Predictive Torque Control With Discrete Space-Vector Modulation for PMSM Drives
Yuanlin Wang;Xiaocan Wang;Wei Xie;Fengxiang Wang.
IEEE Transactions on Industrial Electronics (2017)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: