[Zurück]

V. Lesic, M. Vasak, G. Stojcic, N. Peric, G. Joksimovic, T. Wolbank:
"State and Parameter Estimation for Field-oriented Control of Induction Machine Based on Unscented Kalman Filter";
Vortrag: Symposium on Power Electronics Electrical Drives Advanced Machines Power Quality (speedam), Sorrento, Italy; 20.06.2012 - 22.06.2012; in: "Proceedings of 2012 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)", (2012), ISBN: 978-1-4673-1301-8; S. 1 - 6.

Modern electric machines are required to have the
best possible dynamic performances. In induction machines this is
achieved by control strategies that are applied with respect to the
flux in the air gap and therefore they require precise information
on flux position. This paper proposes an observer with autotuning
capability that uses the unscented Kalman filter algorithm for
providing on-line estimation of states and parameters of the
fundamental wave model of the machine. The algorithm uses
power converter reference values of stator voltages, measured
stator currents and rotor speed as inputs. Such observer provides
accurate estimates of flux position and fundamental stator cur-
rents required for e.g. field-oriented control, taking into account
machine parameters variability. Design procedure of the observer
is presented and both simulation and experimental results are
provided.

http://publik.tuwien.ac.at/files/PubDat_215426.pdf