D
Dieter Gerling
Researcher at Bundeswehr University Munich
Publications - 227
Citations - 2709
Dieter Gerling is an academic researcher from Bundeswehr University Munich. The author has contributed to research in topics: Stator & Rotor (electric). The author has an hindex of 19, co-authored 214 publications receiving 2113 citations.
Papers
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Journal ArticleDOI
Finite-Control-Set Model Predictive Torque Control With a Deadbeat Solution for PMSM Drives
TL;DR: This paper proposes a control strategy of finite-control-set model predictive torque control with a deadbeat (DB) solution for permanent-magnet synchronous motor drives that relieves the big calculation effort of the traditional FCS-MPTC method.
Journal ArticleDOI
Deadbeat Model-Predictive Torque Control With Discrete Space-Vector Modulation for PMSM Drives
Yuanlin Wang,Xiaocan Wang,Wei Xie,Fengxiang Wang,Manfeng Dou,Ralph Kennel,Robert D. Lorenz,Dieter Gerling +7 more
TL;DR: This paper proposes an alternative strategy of finite-control-set model-predictive torque control (MPTC) to reduce the computational burden and the torque ripple and decouple the switching frequency from the controller sampling time.
Journal ArticleDOI
Reduction of Low Space Harmonics for the Fractional Slot Concentrated Windings Using a Novel Stator Design
TL;DR: Using magnetic flux barriers in the stator yoke of electric machines with fractional slots, tooth-concentrated winding, it is possible to reduce or even to cancel some space harmonics of low order in the air-gap flux density resulting in lower rotor losses induced by the armature reaction field as mentioned in this paper.
Proceedings ArticleDOI
A Novel 24-Slots/10-Poles Winding Topology for Electric Machines
Gurakuq Dajaku,Dieter Gerling +1 more
TL;DR: In this paper, a new and high efficiency method is presented to reduce simultaneously the sub-and high MMF harmonics of these winding types, based on doubling the number of stator slots, using two identical winding systems connected in series and shifted to each other.
Journal ArticleDOI
Dynamic Loss Minimization of Finite Control Set-Model Predictive Torque Control for Electric Drive System
TL;DR: In this article, a dynamic optimization strategy of finite control set-model predictive torque control for permanent magnet synchronous machines is proposed, which takes into account the inverter losses and machine losses simultaneously.