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Asian Journal of Control / Nov 2020

Tensor product transformation‐based modeling of an induction machine

State-space modelling theory is still a current topic of electrical machines in drive control. Induction machines can be described by nonlinear model leading to linear parameter varying (LPV) state-space model. In order to solve the above-mentioned highly nonlinear problem, Tensor Product (TP) transformation has been chosen. Big advantage of TP modelling are the short simulation time in MATLAB and speed controller can be designed easily.

Published in: 2019 1st IEEE International Conference on Gridding and Polytope Based Modeling and Control (GPMC)

Url
DOI: 10.1109/GPMC48183.2019.9106955
Authors
Németh, Z.
Kuczmann, M.

Kapcsolat

Prof. Dr. Péter Gáspár

H-1111 Budapest, Kende u. 13-17.

+36 1 279 6000

autonom@nemzetilabor.hu

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