@inproceedings{DegelHaehnleinKloefferetal.2020,
  author    = {Jan Philipp Degel and Stefan H{\"a}hnlein and Christian Kl{\"o}ffer and Martin Doppelbauer},
  title     = {A moving least-square approach for current slope estimation in an inverter fed IPMSM using field programmable gateway arrays},
  series = {Proceedings : 2020 International Conference on Electrical Machines (ICEM)},
  address   = {New York},
  organization    = {IEEE},
  isbn      = {978-1-7281-9945-0 (Online)},
  issn      = {2381-4802},
  doi       = {10.1109/ICEM49940.2020.9270920},
  pages     = {1033 -- 1039},
  year      = {2020},
  abstract  = {In this work a method for the estimation of current slopes induced by inverters operating interior permanent magnet synchronous machines is presented. After the derivation of the estimation algorithm, the requirements for a suitable sensor setup in terms of accuracy, dynamic and electromagnetic interference are discussed. The boundary conditions for the estimation algorithm are presented with respect to application within high power traction systems. The estimation algorithm is implemented on a field programmable gateway array. This moving least-square algorithm offers the advantage that it is not dependent on vectors and therefore not every measured value has to be stored. The summation of all measured values leads to a significant reduction of the required storage units and thus decreases the hardware requirements. The algorithm is designed to be calculated within the dead time of the inverter. Appropriate countermeasures for disturbances and hardware restrictions are implemented. The results are discussed afterwards.},
  language  = {en}
}