2007
DOI: 10.1109/tie.2006.888778
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Online Stator and Rotor Resistance Estimation Scheme Using Artificial Neural Networks for Vector Controlled Speed Sensorless Induction Motor Drive

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Cited by 223 publications
(115 citation statements)
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“…Alternate QD Model (AQDM) included leakage saturation, magnetizing saturation, and distributed system effects in the rotor circuits which CQDM in [8][9][10][11][12][13] respectively. The steady-state equivalent circuit representing the AQDM in [14] is shown in Fig.…”
Section: Alternate Qd Induction Machine (Aqdm)mentioning
confidence: 99%
“…Alternate QD Model (AQDM) included leakage saturation, magnetizing saturation, and distributed system effects in the rotor circuits which CQDM in [8][9][10][11][12][13] respectively. The steady-state equivalent circuit representing the AQDM in [14] is shown in Fig.…”
Section: Alternate Qd Induction Machine (Aqdm)mentioning
confidence: 99%
“…Contrarily, in nonlinear systems, there's not a general solution to the problem of observer synthesis which prompted researchers to develop nonlinear observers. Several algorithms on this subject can be found in the literature, namely extended Luenberger observer [15,16], extended Kalman filter [17,18], sliding mode observer (SMO) [19], model reference adaptive system [20], artificial neural network observer [21] and fuzzy logic observer [22,23].…”
Section: Introductionmentioning
confidence: 99%
“…In fact, Artificial-Intelligence such as Genetic Algorithms (GA) and Fuzzy Logic has found a great success in this field, since they need no accurate models for controlled system [10,11]. Authors in [12] propose an effective way for online tuning of PI controller gains based on GAs to ensure optimal control by searching for a global minimum.…”
Section: Introductionmentioning
confidence: 99%