Discrete‐time model of an induction motor
Author(s) -
Böcker J.
Publication year - 1991
Publication title -
european transactions on electrical power
Language(s) - English
Resource type - Journals
eISSN - 1546-3109
pISSN - 1430-144X
DOI - 10.1002/etep.4450010202
Subject(s) - discretization , discrete time and continuous time , control theory (sociology) , observer (physics) , computation , differential equation , computer science , microprocessor , discrete system , stability (learning theory) , mathematics , algorithm , mathematical analysis , artificial intelligence , statistics , physics , control (management) , quantum mechanics , machine learning , computer hardware
If a state‐space observer of a continuous‐time process is to be realized on a sampling microprocessor system, a discrete time model of the process is needed. Time‐varying continuous‐time parameters require the on‐line computation of the discrete‐time model. For this purpose numerical integration algorithms are used to get an approximate model instead of the exact model in discrete‐time. For the model of an induction motor it is pointed out that the often‐used first‐order algorithm of Euler (RK1) is crucial. Even the choice of the continuous‐time differential equation system, which has to be discretized, influences the quality of the discrete‐time approximation in a decisive manner. On the one hand even stability problems appear while on the other hand, by choosing the equation system in a skilful manner, one obtains a simple and accurate discrete‐time model, which can be used for microprocessor implementations.
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