D
D.S. Zinger
Researcher at University of Akron
Publications - 15
Citations - 1061
D.S. Zinger is an academic researcher from University of Akron. The author has contributed to research in topics: Direct torque control & Induction motor. The author has an hindex of 10, co-authored 15 publications receiving 1050 citations. Previous affiliations of D.S. Zinger include Northern Illinois University & University of Wisconsin-Madison.
Papers
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Journal ArticleDOI
A variable speed wind turbine power control
TL;DR: In this article, a simple control scheme is proposed that allows an induction motor to run a wind turbine at its maximum power coefficient, using a standard V/Hz converter and controlling the frequency to achieve the desired power at a given turbine speed.
Journal ArticleDOI
PI and fuzzy estimators for tuning the stator resistance in direct torque control of induction machines
S. Mir,Malik Elbuluk,D.S. Zinger +2 more
TL;DR: In this article, a method for the estimation of changes in stator resistance during the operation of the induction machine is presented, which is implemented using proportional integral control and fuzzy logic control schemes.
Proceedings ArticleDOI
Fuzzy controller for inverter fed induction machines
S. Mir,D.S. Zinger,Malik Elbuluk +2 more
TL;DR: In this article, a fuzzy logic controller chooses the switching states based on a set of fuzzy state variables, such as flux position, error in flux magnitude and error in torque, which are determined by observing the vector diagram of flux and currents.
Journal ArticleDOI
Annualized wind energy improvement using variable speeds
D.S. Zinger,Eduard Muljadi +1 more
TL;DR: In this article, the authors used a Rayleigh probability distribution to determine the number of hours of a particular wind speed which occur in a given year, and then used the aerodynamic power generated at a given average wind speed to calculate the total energy generated during the year.
Journal ArticleDOI
Fuzzy implementation of direct self-control of induction machines
S. Mir,D.S. Zinger,Malik Elbuluk +2 more
TL;DR: In this article, a fuzzy logic controller is used for the implementation of direct self control to improve its slow response, which is very beneficial in applications where direct torque control is highly desirable.