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  • 标题:An Internal Model Approach to Robust Current Control of IPMSM Drives with Respect to Unknown and Varying Inductances
  • 本地全文:下载
  • 作者:René Metzkow ; Juan G. Rueda-Escobedo ; Daniela Döring
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:14185-14191
  • DOI:10.1016/j.ifacol.2020.12.1046
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractInterior permanent magnet synchronous machines (IPMSMs) are well-suited for high-performance applications, such as traction drives in hybrid and electric vehicles. Yet a major challenge to fully exploit their potential is the fact that their self and cross-coupling inductances vary significantly across the operation range. In addition, this variation is difficult to characterize and complicates the design of provably stabilizing and robust controls. Motivated by this, by using an IPMSM model with current dependant inductances together with the internal model principle, a nonlinear current control scheme is derived that renders the equilibrium point of the closed-loop system exponentially stable. Both the control and the stability result only require the knowledge of an upper bound of the gradient of the inductances as well as lower and upper bounds on the inductance values themselves, while their actual evolution can be completely unknown. This is a major advantage compared to existing (PI-based) current control approaches, as it makes costly practices to determine the inductance variations unnecessary. The efficacy of the proposed control scheme is demonstrated in a simulation example.
  • 关键词:KeywordsPermanent magnet motorsTwo-axis machine modelElectric machinesInternal model principleRobustness
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