[Zurück]

T. Wolbank, M. Metwally:
"Sensorless Position Control of Skewed Rotor Induction Machines Based on Multi Saliency Extraction";
Vortrag: IEEE Applied Power Electronics Conference, Palm Springs, California, USA; 21.02.2010 - 25.02.2010; in: "Proceedings of IEEE Applied Electronics Conference and Exposition", (2010), ISBN: 978-1-4244-4783-1; S. 414 - 419.

This paper addresses sensorless position and torque
control of induction machines around zero frequency using
inherent saliencies of a skewed rotor machine. The estimation
method employs transient excitation of voltage pulses to detect
machine saliencies. The resulting signals from injection based
sensorless control methods are composed of components caused
by saturation, slotting, as well as inter-modulation effects. As
multiple saliencies cause problems in tracking only a particular
saliency, decoupling of the different signal components is applied
via neural network. This leads to the estimation of both the rotor
angle as well as the flux angle, which are used in combination with
the stator and the rotor equations. Identifying the disturbances of
the different signal components it is possible to establish an
adaptive control signal merging to reduce disturbance based
torque pulsations. The performance of the control is investigated
at loaded operation and zero speed as well as zero fundamental
frequency.

http://publik.tuwien.ac.at/files/PubDat_189841.pdf