Dynamic control of generalized electrically excited synchronous machines using predictive flux control

Winzer, Patrick; Richter, Jan; Doppelbauer, Martin

doi:10.1109/iecon.2016.7793666

Cited by 12 publications

(2 citation statements)

References 21 publications

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“…This is the high rotor frequency and the small rotor flux linkages in this area, causing the measurements to have higher risk of error. Since the induction motor is simplified modelled as a system with three different windings (Sd, Sq, R) in rotor flux orientation, the rotor current dependent evaluation shows a comparable behavior to flux maps of Electrically Excited Synchronous Machines (EESM) [17].…”

Section: D) Dynamic Flux Mapsmentioning

confidence: 99%

Identification of rotor and stator flux linkage maps of squirrel cage induction motors based on identification of rotor time constant maps

Stoß,

Karayel,

Geier

et al. 2023

2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)

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Model-predictive, field-oriented control of squirrel cage induction motors (SCIM) depends on the accurate identification and orientation of rotor and stator flux maps. In this paper, a new method is presented that utilizes the measured rotor time constant maps to reduce the orientation error of the identified flux maps. This enables the identification and modelling of the nonlinear and transient machine behavior, due to the estimation of the stator-and rotor-flux maps in dependence of stator and rotor currents.

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Section: D) Dynamic Flux Mapsmentioning

confidence: 99%

Identification of rotor and stator flux linkage maps of squirrel cage induction motors based on identification of rotor time constant maps

Stoß,

Karayel,

Geier

et al. 2023

2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)

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“…The torque transient response is distributed between stator and rotor depending on voltage constraints. A predictive control algorithm is developed in study [12]. The torque can be inversed by inverting the excitation current.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Current Control to Compensate for Magnetic Mutual Coupling in Electrically Excited Synchronous Machines

Tang

Liu

2020

2020 International Conference on Electrical Machines (ICEM)

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Electrically excited synchronous machines have become an attractive solution to electric vehicles. Equipped with a field winding in the rotor, the excitation of the machine is controllable. However, due to the magnetic mutual coupling between the stator and rotor windings, a voltage will be induced in the field winding in case of a current rise in the stator winding and vice versa. In this study, a dynamic current control algorithm with compensation for magnetic mutual coupling is proposed. A first-order response of current rise is expected. To achieve this, the controller consists of three parts. The first part is the feed forward of cross-coupling terms due to Park transform. The second part takes care of the resistances and selfinductances. The third part takes care of the mutual inductances. Finally, the outputs from the three parts are summed up to be the total output from the controller.

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Low Switching Frequency Deadbeat-Direct Torque and Flux Control of Wound Field Synchronous Machines

Nie

Brown

Ludois

2018

2018 IEEE Energy Conversion Congress and Exposition (ECCE)

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Dynamic control of generalized electrically excited synchronous machines using predictive flux control

Cited by 12 publications

References 21 publications

Identification of rotor and stator flux linkage maps of squirrel cage induction motors based on identification of rotor time constant maps

Identification of rotor and stator flux linkage maps of squirrel cage induction motors based on identification of rotor time constant maps

Dynamic Current Control to Compensate for Magnetic Mutual Coupling in Electrically Excited Synchronous Machines

Low Switching Frequency Deadbeat-Direct Torque and Flux Control of Wound Field Synchronous Machines

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