TY  - JOUR
T1  - Fuzzy Sets-Based Nonlinear Modelling of Induction Machines: An Alpha-Cut Approach
AU - , Noureddine Melouah AU - , Hamid Kherfane AU - , Bachir Bensaker 
JO  - International Journal of Electrical and Power Engineering
VL  - 1
IS  - 4
SP  - 438
EP  - 442
PY  - 2007
DA  - 2001/08/19
SN  - 1990-7958
DO  - ijepe.2007.438.442
UR  - https://makhillpublications.co/view-article.php?doi=ijepe.2007.438.442
KW  - Nonlinear modelling
KW  -induction machines
KW  -fuzzy sets
KW  -fuzzy parameters
KW  -alpha-cuts
KW  -Zadeh extension principle
AB  - This study is devoted to nonlinear modelling of induction machines by using the fuzzy set concepts. Induction machines are known as complex nonlinear systems in which time-varying parameters entail an additional difficulty for control and diagnostic purposes. Based on the fact that nonlinear system problems can be solved by using fuzzy set concepts, an induction machine model expressed in terms of nonlinear state space model is investigated and discussed. Fuzzy sets are used to describe uncertainty, nonlinearity and time-variance of the system parameters. This leads to nonlinear state space model with fuzzy parameters. The simulation results show that the proposed approach can be effectively applied to induction machine control and diagnostic problems. To our knowledge, this approach is new in the field of electric machine modelling, control and diagnostic.
ER  -