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A Novel Approach of High Dynamic Current Control of Interior Permanent Magnet Synchronous Machines

  • Harmonic-afflicted effects of permanent magnet synchronous machines with high power density are hardly faced by traditional current PI controllers, due to limited controller bandwidth. As a consequence, currents and lastly torque ripples appear. In this paper, a new deadbeat current controller architecture has been presented, which is capable to encounter the effects of these harmonics. This newHarmonic-afflicted effects of permanent magnet synchronous machines with high power density are hardly faced by traditional current PI controllers, due to limited controller bandwidth. As a consequence, currents and lastly torque ripples appear. In this paper, a new deadbeat current controller architecture has been presented, which is capable to encounter the effects of these harmonics. This new control algorithm, here named “Hybrid-Deadbeat-Controller”, combines the stability and the low steady-state errors offered by common PI regulators with the high dynamic offered by the deadbeat control. Therefore, a novel control algorithm is proposed, capable of either compensating the current harmonics in order to get smoother currents or to control a varying reference value to achieve a smoother torque. The information needed to calculate the optimal reference currents is based on an online parameter estimation feeding an optimization algorithm to achieve an optimal torque output and will be investigated in future research. In order to ensure the stability of the controller over the whole area of operation even under the influence of effects changing the system’s parameter, this work as well focusses on the robustness of the “hybrid” dead beat controller.show moreshow less

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Author:Jan Philipp Degel, Christian Klöffer, Martin Doppelbauer, Wolfgang Wondrak, Giorgio Gullone
Editor:Jan Philipp Degel
Contributing Corporation:IEEE
Place of publication:Genua
Year of Publication:2019
Pagenumber:5
ISBN:978-9-0758-1531-3
Language:English
Tag:Control Algorithms
Parent Title (English):EPE'19 ECCE Europe
Document Type:Conference Proceeding
Institutes:Hochschule Offenburg / Bibliografie
Acces Right:Frei zugänglich
Release Date:2019/12/05
Licence (German):License LogoEs gilt das UrhG
URL:https://ieeexplore.ieee.org/document/8915058
DOI:https://doi.org/10.23919/EPE.2019.8915058