Simulink Implementation of Induction Machine Model
Simulink Implementation of Induction Machine Model
– A Modular Approach
Burak Ozpineci1
Leon M. Tolbert1,2
burak@ieee.org
tolbert@utk.edu
1
2
Oak Ridge National Laboratory
P.O. Box 2009
Oak Ridge, TN 37831-6472
Department of Electrical and Computer
Engineering
The University of Tennessee
Knoxville, TN 37996-2100
parameters are accessible for control and verification purposes. Simulink induction machine model discussed in this paper has been featured in a recent graduate level text book [6], and it also has been used by different scholars in the US [7-9],
Korea, and Brazil [10-12] in their research.
Abstract - In this paper, a modular Simulink implementation of an induction machine model is described in a step-by-step approach. With the modular system, each block solves one of the model equations; therefore, unlike black box models, all of the machine parameters are accessible for control and verification purposes. After the implementation, examples are given with the model used in different drive applications, such as open-loop constant
V/Hz control and indirect vector control are given. Finally, the use of the model as an induction generator is demonstrated.
II. INDUCTION MOTOR MODEL
The induction machine d-q or dynamic equivalent circuit is shown in Fig. 1. One of the most popular induction motor models derived from this equivalent circuit is Krause’s model detailed in [13]. According to his model, the modeling equations in flux linkage form are as follows:
I. INTRODUCTION
Usually, when an electrical machine is simulated in circuit simulators like PSpice, its steady state model is used, but for electrical drive studies, the transient behavior is also important. One advantage of Simulink over circuit simulators is the ease in modeling the transients of electrical machines and drives and to include drive controls in the simulation.
As long as the equations are known, any drive or control
algorithm
– A Modular Approach
Burak Ozpineci1
Leon M. Tolbert1,2
burak@ieee.org
tolbert@utk.edu
1
2
Oak Ridge National Laboratory
P.O. Box 2009
Oak Ridge, TN 37831-6472
Department of Electrical and Computer
Engineering
The University of Tennessee
Knoxville, TN 37996-2100
parameters are accessible for control and verification purposes. Simulink induction machine model discussed in this paper has been featured in a recent graduate level text book [6], and it also has been used by different scholars in the US [7-9],
Korea, and Brazil [10-12] in their research.
Abstract - In this paper, a modular Simulink implementation of an induction machine model is described in a step-by-step approach. With the modular system, each block solves one of the model equations; therefore, unlike black box models, all of the machine parameters are accessible for control and verification purposes. After the implementation, examples are given with the model used in different drive applications, such as open-loop constant
V/Hz control and indirect vector control are given. Finally, the use of the model as an induction generator is demonstrated.
II. INDUCTION MOTOR MODEL
The induction machine d-q or dynamic equivalent circuit is shown in Fig. 1. One of the most popular induction motor models derived from this equivalent circuit is Krause’s model detailed in [13]. According to his model, the modeling equations in flux linkage form are as follows:
I. INTRODUCTION
Usually, when an electrical machine is simulated in circuit simulators like PSpice, its steady state model is used, but for electrical drive studies, the transient behavior is also important. One advantage of Simulink over circuit simulators is the ease in modeling the transients of electrical machines and drives and to include drive controls in the simulation.
As long as the equations are known, any drive or control
algorithm
References: engineering Society Winter Meeting, 2000, pp. 387 -391. Matlab/Simulink environments,” International Conference on Electric Machines and Drives (IEMD), 1999, pp Matlab/Simulink model,” IEEE International Electric Machines and Drives Conference, 2001, pp