Improved Stator Flux Estimation for Direct Torque Control of Induction Motor Drives

International Journal of Power Electronics and Drive System (IJPEDS)
Vol. 7, No. 4, December 2016, pp. 1049~1060
ISSN: 2088-8694, DOI: 10.11591/ijpeds.v7i4.pp1049-1060  1049
Journal homepage: http://iaesjournal.com/online/index.php/IJPEDS
Improved Stator Flux Estimation for Direct Torque Control of
Induction Motor Drives
Yahya Ahmed Alamri1
, Nik Rumzi Nik Idris2
, Ibrahim Mohd. Alsofyani3
, Tole Sutikno4
1,2,3
UTM-PROTON Future Drive Laboratory, Power Electronics and Drives Research Group,
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
4
Department of Electrical Engineering, Universitas Ahmad Dahlan, Janturan, Yogyakarta 55164, Indonesia
Article Info ABSTRACT
Article history:
Received May 20, 2016
Revised Oct 25, 2016
Accepted Nov 6, 2016
Stator flux estimation using voltage model is basically the integration of the
induced stator back electromotive force (emf) signal. In practical
implementation the pure integration is replaced by a low pass filter to avoid
the DC drift and saturation problems at the integrator output because of the
initial condition error and the inevitable DC components in the back emf
signal. However, the low pass filter introduces errors in the estimated stator
flux which are significant at frequencies near or lower than the cutoff
frequency. Also the DC components in the back emf signal are amplified at
the low pass filter output by a factor equals to . Therefore, different
integration algorithms have been proposed to improve the stator flux
estimation at steady state and transient conditions. In this paper a new
algorithm for stator flux estimation is proposed for direct torque control
(DTC) of induction motor drives. The proposed algorithm is composed of a
second order high pass filter and an integrator which can effectively
eliminates the effect of the error initial condition and the DC components.
The amplitude and phase errors compensation algorithm is selected such that
the steady state frequency response amplitude and phase angle are equivalent
to that of the pure integrator and the multiplication and division by stator
frequency are avoided. Also the cutoff frequency selection is improved; even
small value can filter out the DC components in the back emf signal. The
simulation results show the improved performance of the induction motor
direct torque control drive with the proposed stator flux estimation algorithm.
The simulation results are verified by the experimental results.
Keyword:
Direct torque control
Induction motor
Low speed operation
Stator flux estimation
Copyright © 2016 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Yahya Ahmed Alamri,
Faculty of Electrical Engineering,
Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia.
Email: yaalamri3@gmail.com
1. INTRODUCTION
Recently, direct torque control (DTC) has becoming a promising alternative solution to high
performance vector control technique for induction motor drives [1], [2]. Compared to the vector control,
DTC has a very simple structure, does not require current regulators, and in principle does not require a speed
sensor to operate. The performance of DTC drive very much depends on the accuracy of the estimated
electromagnetic torque and stator flux linkage based on the terminal variables of the machine, such as the
stator currents and voltages. In general, the flux linkage vector can be estimated either based on the voltage
model, or the current model equations. The advantages of the voltage model method over the current model
method are its simple implementation that does not require rotor speed information; the only parameter
required is the stator winding resistance. However, it turns out that the estimation of the stator flux linkage
using voltage model normally has problems at low speed operations.

IJPEDS ISSN: 2088-8694 
Improved Stator Flux Estimation for Direct Torque Control of Induction Motor Drives (Yahya Ahmed A.)
1050
In the literature, two general approaches are followed to overcome the voltage-model-based
estimator shortcomings. The first approach is based on the compensation of the errors that are present in the
measured and reconstructed stator current and voltage signals which requires an identification process to
obtain accurate values of the stator resistance and the voltage source inverter (VSI) model parameters [3]-[6].
However, most of these parameters varies with the operating conditions which increase the complexity of the
identification process. The second approach is based on improving the integration algorithm for stability and
accuracy of the voltage-model-based estimation method [7]-[17]. Basically the stator flux is obtained by an
open loop integration of the induced stator back electromotive force (emf). In practice the pure integration
cannot be easily implemented because of the initial condition problem and the inevitable DC offset in the
back emf signal. Thus, normally low pass (LP) filter replaces the pure integration to eliminates the initial
condition problem and prevent the saturation of the estimated stator flux. However, LP filter introduces
magnitude and phase errors in the estimated stator flux which increase at frequencies near or lower than the
cutoff frequency. These errors will degrade the performance of the drive system; therefore, different
compensation algorithms have been proposed to compensate for these errors [8]-[13].
In [8] three integration algorithms are presented which are composed of a LP filter followed by a
feedback loop to compensate for the LP filter errors. Amplitude limiters are added in the feedback loop to
prevent the integration from saturation. The third integration algorithm used an adaptive method to maintain
the orthogonality between the back emf and the stator flux vectors. In [9] a first order LP filter with a
programmable cutoff frequency is used to solve the DC drift, with amplitude and phase angle errors
compensation algorithm. However, multiplication and division by the stator frequency ( ) are involved in
the amplitude and phase errors calculations. Also in [10] a LP filter with a fixed cutoff frequency is proposed
to improve the DTC drive performance and the compensation algorithm is activated only at the steady state
condition. Further improvements on this type of estimator have been introduced in several studies [11]-[13].
The compensation algorithm is simplified where the multiplication and division by are avoided. And the
stator frequency is estimated based on a phase locked loop (PLL) method instead of the induction motor
equation based method [12]. In [11]-[13] the speed reversal problems are avoided by carrying out the
compensation before the LP filter. Also in [13], the estimator response time is reduced by increasing the
cutoff frequency value.
To estimate the flux in a wide speed range the LP filter cutoff frequency has to be very small. That
causes a slow decay of the DC components and the DC offset appears at the estimated signal. In [14] a
programmable cascade LP filter is proposed to solve the DC offset at low frequencies, where, a cascade LP
filters with large cutoff frequencies replace the single stage LP filter with a small cutoff frequency. The time
constant is selected in such a way that the phase angle of the cascade LP filter is equivalent to that of the pure
integration and the output signal is multiplied by a gain compensator. Also in [15] two cascade LP filters
with a cutoff frequency equals to the stator frequency is introduced, which have a phase angle equivalent to
the pure integration phase angle. However, in the programmable cascade LP filter-based estimator, the
multiplication by is required for the amplitude error compensator, which causes the estimator to behave as
a zero gain at zero stator frequency [13]. Also the multiplication or division by is required in the cutoff
frequency calculation which is a problematic at the motor start up and zero speed. In [16], and [17] an
integration algorithms composed of a high order LP filter followed by a first order high pass (HP) filter with
a cutoff frequency equals to the stator frequency are introduced which reduce the estimator sensitivity to the
DC components compared to the previous estimators. This is because of the differential part included in the
HP filter that makes the DC gain of the estimator equals to zero. However, in this solution, the multiplication
by is required for the amplitude error compensation because of the cascade LP filters present in the
integration algorithm.
In this paper, a new algorithm for stator flux estimation is proposed to improve the performance of
the DTC drive. The proposed algorithm is composed of a second order HP filter and an integrator. Therefore,
the proposed algorithm has the zero DC gain advantages and the problems associated with the cascade LP
filter are avoided. The structure of this paper is organized as follows. In the next section the proposed
integration algorithm with its amplitude and phase errors compensation algorithm are presented. Then in
section 3 the simulation results of the DTC drive with the proposed integration algorithm are presented
followed by the experimental results. In this paper the results of the proposed estimator algorithm are
compared with the results of the compensated LP filter algorithm that has been proposed in [11], [13].
Finally, the conclusion is given in section 4.
2. PROPOSED INTEGRATION ALGORITHM
The following equations describe the IM dynamic model:

 ISSN: 2088-8694
IJPEDS Vol. 7, No. 4, December 2016 : 1049–1060
1051
(1)
(2)
(3)
(4)
Where, the variables and parameters are defined as
Stator voltage, stator current, and rotor current space vectors.
Stator and rotor flux space vectors
Rotor speed
Stator and rotor resistances
Stator and rotor inductance
Mutual inductance
The variables are space vectors in stationary reference frame and can be represented in d-q components as
follow
[ ] [ ] [ ] [ ] [ ]
The stator flux estimation in this paper is based on the so called voltage model which is derived from (1).
Theoretically, the stator flux can be obtained by integrating the back EMF as follows:
∫( ) (5)
The frequency response of the pure integrator based estimator of (5) can be written as:
(6)
where is the back EMF and is the operating frequency, i.e. the synchronous frequency. The main
advantage of using the voltage model based estimator over other methods, such as current model, is its
simplicity and no speed information requirement. However, the stator flux estimation based on voltage
model, as discussed earlier, has stability problem in the practical implementation. Therefore, in practice,
instead of an integrator, a LP filter, as given by (7), is used.
(7)
In (7), , is the cufoff frequency of the LP filter, and is the estimated stator flux linkage vector.
For DTC application, errors in the magnitude and phase of the estimated flux can cause the incorrect
selection of the voltage vectors, particularly at the boundary between 2 sectors. For flux estimation based on
a LP filter, the operating frequency has to be set a decade higher than cutoff frequency in order to minimize
the magnitude and phase errors, otherwise compensations to the magnitude and phase of the estimated value
has to the applied. An example of a compensation that can be used for the LP filter based estimator is shown
in Figure 1 [11], [13]. Since the DC gain of the LP filter based estimator is given by ⁄ , setting the cut-off
frequency too low will reduce the effectiveness of the filter to remove the DC offset present in the back EMF.
No matter what value the cut-off frequency is set, the DC offset will still be present in the estimated flux. On
the other hand, if the cut-off frequency is set too high, the capability of the drive to operate at low speed
region will be reduced. In DTC drive of IM, the problem of the DC offset does not appear in the estimated
flux because the stator flux amplitude is controlled. However, the estimated flux components waveforms and
phase angle are distorted.

1052
sd
sq
sd
sq
+
+
+
-
( e)K sgn
( e)K sgn
|ek |
1
s +
|ek |
1
s +
Figure 1. The Compensated LP Filter Integration Algorithm [11], [13]
able
Figure 2. Frequency Response of an Integrator, LP Filter and the Proposed Filter at a Cut off Frequency of
5 rad/s
Consequently, the stator flux sector is not correctly estimated and the wrong stator voltage vectors
are Therefore, to improve the performance of the DTC drive the DC offset has to be completely removed
regardless of operating frequency. The LP filter based estimator given by (7) can be considered as a
combination of a first order HP filter and a pure integration, which can be written as (8).
(8)
In order to increase the DC offset rejection, in this paper, we propose to replace the first order HP
filter with a second order HP filter, as given by (9).
( ) ( )
(9)
Figure 2 shows the frequency response of an integrator, a LP filter based estimator and the proposed
estimator (equation (9)). In this figure, the cutoff frequency both for the LP and proposed filters is set to 5
rad/s. It can be seen from the figure that proposed filter is more capable of eliminating the DC offset
compared to the other methods, however it also introduce the largest phase error if the operating frequency is
close to the cutoff frequency. If the operating frequency is much higher than the cutoff, the proposed filter
gives the best performance in terms of DC offset rejection.
Using the proposed filter, it is therefore necessary to compensate the estimated flux in order to
minimize the error. The error in the estimated stator flux is compensated in such a way that the frequency
response of the proposed integration algorithm is equivalent to that of the pure integration. The frequency
response function of (9) can be written as
Bode Diagram
Frequency (rad/s)
-200
-100
0
100
200
Magnitude(dB)
10
-6
10
-4
10
-2
10
0
10
2
10
4
10
6
-90
-45
0
45
90
Phase(deg)
Pure Integration
Low Pass Filter
Proposed Integration

 ISSN: 2088-8694
1053
( )
(10)
Taking the ratio of the estimated stator flux between the pure integrator (6) and the proposed filter (10) the
following equation is obtained.
( )
(11)
Then, the compensated flux equation for the proposed stator flux estimator is given by
*( ) + (12)
When the cutoff frequency is selected as a function of the stator frequency, | |, (12) can be
simplified as
[( ) ( )] [ ( )] (13)
The stator flux estimation using the proposed filter including the compensation in (13) can be implemented as
shown in Figure 3. To improve the estimation in the reverse speed operation, part of the compensation
algorithm is performed before the integration algorithm.
+
+
+
-
sd
sq
sd
sq
)
2
ek | |
s
( s +
)
2
ek | |
s
( s +
( e)K sgn
( e)K sgn
+
+
+
-
( e)K sgn
( e)K sgn
Figure 3. The Proposed Stator Flux Integration Algorithm
3. SIMULATION AND EXPERIMENTAL RESULTS
3.1. Simulation Results
In order to study the effectiveness of the proposed method, the DTC induction motor drive system
shown in Figure 4 is simulated using Matlab/SIMULINK simulation package. For the purpose of
comparison, the stator flux is estimated using the LP filter and also the proposed estimator (both with
compensations). The estimated electromagnetic is calculated using the estimated flux using (14)
( ) (14)
In order to perform the compensation, the operating frequency (the stator flux frequency) is
calculated by taking the average value of (15)

1054
| |
(15)
The values of the IM parameters for the simulation are given in Table 1. The cutoff frequency is a
programmable value which is a gain multiplied by the absolute value of the estimated stator flux frequency.
Therefore, the compensation algorithm as presented in section 2 is free of multiplication or division by the
stator flux frequency. To evaluate the performance of both estimators in performing the estimation with the
present of DC offset, a DC offset of 1 volt is introduced in the back EMF signal.
Voltage
Source
Inverter
(VSI)
Stator flux and
electromagnetic
Torque estimator
Switching
Table
IM
Sa
Sb
Sc
Vdc
+
-
-
+
𝑻 𝒓 𝒇
,𝒓 𝒇
𝑻
𝝆
𝒅𝑻
𝒅
Figure 4. Induction Motor Direct Torque Control Drive Scheme.
For the LP filter estimator, the present of DC components in the back emf signals introduces an
error in the estimated stator flux phase angle as shown in Figure 5(c). The flux hysteresis and torque
hysteresis controllers are operated based on the incorrect stator flux and torque information thus selecting the
incorrect voltage vectors that are used to control the flux and torque. The actual torque waveform is shown in
Figure 5(f) indicated the presence of the oscillation due to this error. The incorrect voltage vector selection
also can be seen from the distorted stator flux phase angle and magnitude. Subsequently, the oscillations are
reflected in the stator and rotor frequencies as shown in Figure 5(d) and (e) respectively. The simulation
results in Figure 6 on the other hand, shows the results obtained based on the proposed stator flux estimator.
The simulation results show that, the DC offset at the output of the integration is totally eliminated.
Consequently, the overall performance of the DTC drive is improved and the rotor speed is ripple free.
3.2. Experimental Results
To verify the simulation results presented in the previous section, experimental test has been carried
out using the DTC IM drive setup shown in Figure 7. The performance of the proposed integration algorithm
for stator flux estimation is tested in various operation condition by the experimental data taken from the
drive, which are the stator currents and voltages. Firstly, the performance of proposed integration algorithm is
compared with that of the compensated LP filter at 20 rad/sec rotor speed with the present of 1 volt DC
component in the back emf signal. For the compensated LP filter results shown in Figure 9 the DC offset
appears in the d-q waveforms of the estimated stator flux and consequently a ripple in the estimated stator
flux frequency as shown in Figure 8 (d). Whereas the proposed integration algorithm results are shown in
Figure 9. There is no DC offset and the frequency oscillation is very much improved.
Next, the proposed estimator is evaluated in the reverse and low speed operation. Figure 10 shows
the validity of the compensation algorithm in the reverse speed condition where the motor speed is changed
from 20 rad/sec to -20 rad/sec. Accurate and stable estimation of the amplitude and phase angle is also
achieved at 5 rad/sec rotor speed as shown in Figure 11.

 ISSN: 2088-8694
1055
(a) (b)
(c)
(d)
(e)
(f)
Figure 5. Simulation results for DTC with the compensated LP filter, k=0.2, and vDC = 1volts. (a) d-q stator
flux components (b) stator flux amplitude (c) stator flux phase angle (d) stator flux frequency (e) rotor speed
(f) electromagnetic torque
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
-1.5
-1
-0.5
0
0.5
1
1.5
Time [s]
Statorflux[Vs]
d-axis
q-axis
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
0
0.2
0.4
0.6
0.8
1
Time [s]
Statorfluxamplitude[Vs]
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
-4
-3
-2
-1
0
1
2
3
4
Time [s]
Statorfluxphaseangle[rad]
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
-10
0
10
20
30
40
50
60
70
Time [s]
Synchronousspeed[rad/sec]
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
19
19.2
19.4
19.6
19.8
20
20.2
20.4
20.6
20.8
21
Time [s]
Rotorspeed[rad/sec]
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
-4
-2
0
2
4
6
8
10
12
Time(sec)
Torque(N.m)

1056
(a) (b)
(c)
(d) (e)
(f)
Figure 6. Simulation results for DTC with the proposed integration algorithm, k=0.2 and vDC =1volts.
(a) d-q stator flux components (b) stator flux amplitude (c) stator flux phase angle (d) stator flux frequency
(e) rotor speed (f) electromagnetic torque
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
-1.5
-1
-0.5
0
0.5
1
1.5
Time [s]
Statorflux[Vs]
daxis
qaxis
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
0
0.2
0.4
0.6
0.8
1
Time [s]
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
-4
-3
-2
-1
0
1
2
3
4
Time [s]
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
0
10
20
30
40
50
60
70
80
Time [s]
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
19
19.2
19.4
19.6
19.8
20
20.2
20.4
20.6
20.8
21
Time [s]
Rotorspeed[rad/sec]
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
-4
-2
0
2
4
6
8
10
12
Time (sec)
Torque(N.m)

 ISSN: 2088-8694
1057
dSPACE 1104
(speed, Torque, and
flux observers and
controllers)
FPGA
(DTC Look Up
Table)
Reference values
(Speed and flux)
Voltage
Source
Inverter
(VSI)
IM
Vdc
Sa,b,c
Current
sensors
Gate
Driver
Sa,b,c
Sa,b,c
_
|d |
sector
dTe
isa, isb
Proposed
Integration
Algorithm.
Experimental
Results
Figure 7. Block diagram of the experiment set-up
(a) (b)
(c)
(d)
Figure 8. Experimental Results for the Compensated LP filter, k=0.2 and vDC=1volts. (a) d-q Stator Flux
Components (b) Stator Flux Amplitude (c) Stator Flux Phase Angle (d) Stator Flux Frequency
0 0.5 1 1.5 2 2.5 3
-1.5
-1
-0.5
0
0.5
1
1.5
Time [s]
Statorflux[Vs]
d-axis
q-axis
0 0.5 1 1.5 2 2.5 3
0
0.2
0.4
0.6
0.8
1
1.2
1.4
Time [s]
0 0.5 1 1.5 2 2.5 3
-4
-3
-2
-1
0
1
2
3
4
Time [s]
0 0.5 1 1.5 2 2.5 3
0
10
20
30
40
50
60
Time [s]

1058
(a) (b)
(c)
(d)
Figure 9. Experimental Results for the Proposed Integration Algorithm, k=0.2 and vDC=1volts. (a) d-q Stator
Flux Components (b) Stator Flux Amplitude (c) Stator Flux Phase Angle (d) Stator Flux Frequency
(a)
(b)
(c)
Figure 10. Experimental Results for the Proposed Integration Algorithm at reverse speed, k=0.2. (a) d-q
Stator Flux Components (b) Stator Flux Amplitude (c) Stator Flux Frequency
0 0.5 1 1.5 2 2.5 3
-1.5
-1
-0.5
0
0.5
1
1.5
Time [s]
Statorflux[Vs]
d-axis
q-axis
0 0.5 1 1.5 2 2.5 3
0
0.2
0.4
0.6
0.8
1
1.2
1.4
Time [s]
0 0.5 1 1.5 2 2.5 3
-4
-3
-2
-1
0
1
2
3
4
Time [s]
0 0.5 1 1.5 2 2.5 3
0
10
20
30
40
50
60
Time [s]
0 1 2 3 4 5 6
-1.5
-1
-0.5
0
0.5
1
1.5
Time [s]
Statorflux[Vs]
d-axis
q-axis
0 1 2 3 4 5 6
0
0.2
0.4
0.6
0.8
1
1.2
1.4
Time [s]
0 1 2 3 4 5 6
-60
-40
-20
0
20
40
60
Time [s]

 ISSN: 2088-8694
1059
(a) (b)
(c)
Figure 11. Experimental Results for The Proposed Integration Algorithm at Low Frequency, 5 rad/sec Rotor
Speed, k=0.2 (a) d-q Stator Flux Components (b) Stator Flux Amplitude (c) Stator Flux Phase Angle
Table 1. Induction Motor Parameters
Rs (Ω) Rr(Ω) Ls(H) Lr(H) Lm(H) JL(Kg. m2
) P
3 4.1 0.3419 0.3513 0.324 0.00952 4
4. CONCLUSION
A new algorithm for stator flux estimation is proposed for the DTC drive of IM, which consists of a
cascaded second order HP filter and pure integration. A simple algorithm for the amplitude and phase angle
errors compensation is derived based on the steady state condition analysis. The advantages of the proposed
integration algorithm are it is simplicity, the multiplication and division by stator frequency are avoided,
and completely rejects the DC offset present in the back EMF. The simulation and the experimental results
show improvement in the stator flux estimation accuracy and the DTC drive overall performance.
ACKNOWLEDGEMENTS
The authors would like to thank Universiti Teknologi Malaysia for the funding of this research
(RMC Vot 12H30)
REFERENCES
[1] I. Takahashi and T. Noguchi, “A new quick-response and high-efficiency control strategy of an induction motor”,
IEEE Trans. Ind. Applicat., vol. IA-22, pp. 820–827, Sept./Oct. 1986.
[2] P. Vas, Sensorless Vector and Direct Torque Control. London, U.K.: Oxford Univ. Press, 1998.
[3] J. Holtz and J. Quan, “Sensorless vector control of induction motors at very low speed using a nonlinear inverter
model and parameter identification", IEEE Trans. Ind. Appl., vol. 38, no. 4, pp. 1087–1095, Jul./Aug. 2002.
[4] J. W. Choi, and S.K. Sul, “Inverter output voltage synthesis using novel dead time compensation", IEEE Trans. On
Power Elect. Vol. 11, no. 2, Mar. 1996.
[5] G. Pellegrino, R.I. Bojoi, P. Guglielmi, and F. Cupertino, "Accurate inverter error compensation and related self-
commissioning scheme in sensorless induction motor drives", IEEE Trans. On Indus. Applications. Vol. 46, No. 5,
Sep./Oct. 2010.
2 2.5 3 3.5 4 4.5 5
-1.5
-1
-0.5
0
0.5
1
1.5
Time [s]
Statorflux[Vs]
d-axis
q-axis
2 2.5 3 3.5 4 4.5 5
0
0.2
0.4
0.6
0.8
1
Time [s]
2 2.5 3 3.5 4 4.5 5
-4
-3
-2
-1
0
1
2
3
4
Time [s]

1060
[6] Yongsoon Park; Seung-Ki Sul, "A Novel Method Utilizing Trapezoidal Voltage to Compensate for Inverter
Nonlinearity", Power Electronics, IEEE Transactions on, vol.27, no.12, pp.4837,4846, Dec. 2012.
[7] K.D. Hurst, T.G. Habetler, G. Griva, and F. Profumo, “Zero-speed tacholess IM torque control: Simply a matter of
stator voltage integration”, IEEE Trans. Ind. Applicat., vol. 34, pp. 790–795, July/Aug. 1998.
[8] J. Hu and B. Wu, “New integration algorithms for estimating motor flux over a wide speed range", IEEE Trans.
Power Electron. vol. 13, no. 5, pp. 969–977, Sep. 1998.
[9] M.H. Shin, D.S. Hyun, S.B. Cho, and S.Y. Choe, “An improved stator flux estimation for speed sensorless stator
flux orientation control of induction motors", IEEE Trans. Power Electron., vol. 15, pp. 312–318, Mar. 2000.
[10] N.R.N. Idris and A.H.M. Yatim, “An improved stator flux estimation in steady-state operation for direct torque
control of induction machines", IEEE Trans. Ind. Appl., vol. 38, no. 1, pp. 110–116, Jan./Feb. 2002.
[11] M. Hinkkanen and J. Luomi, “Modified integrator for voltage model flux estimation of induction motors", IEEE
Trans. Ind. Electron., vol. 50, no. 4, pp. 818–820, Aug. 2003.
[12] M. Comanescu and L. Xu, “An improved flux observer based on PLL frequency estimator for sensorless vector
control of induction motors", IEEE Trans. Ind. Electron., vol. 53, no. 1, pp. 50–56, Feb. 2006.
[13] Stojic D., Milinkovic M., Veinovic S., Klasnic I., "Improved Stator Flux Estimator for Speed Sensorless Induction
Motor Drives", Power Electronics, IEEE Transactions on, vol.30, no.4, pp.2363,2371, April 2015.
[14] B.K. Bose and N.R. Patel, “A programmable cascaded low-pass filter-based flux synthesis for a stator flux-oriented
vector-controlled induction motor drive", IEEE Trans. Ind. Electron., vol. 44, no. 1, pp. 140–143, Feb. 1997.
[15] G. Tan, X. Wu, Z. Ye, Y. Han, and P. Guo, “Dual three-level double-fed induction motor control based on novel
stator flux observer”, in Proc. Int.Conf. Elect. Control Eng., 2010, pp. 3668–3671.
[16] Y. Wang and Z. Deng, “An integration algorithm for stator flux estimation of a direct-torque-controlled electrical
excitation flux switching generator", IEEE Trans. Energy Convers., vol. 27, no. 2, pp. 411–420, Jun. 2012.
[17] Y. Wang and Z. Deng, “Improved stator flux estimation method for direct torque linear control of parallel hybrid
excitation switched-flux generator", IEEE Trans. Energy Convers., vol. 27, no. 3, pp. 747–756, Sep. 2012.

Improved Stator Flux Estimation for Direct Torque Control of Induction Motor Drives

More Related Content

What's hot (20)

Similar to Improved Stator Flux Estimation for Direct Torque Control of Induction Motor Drives (20)

More from IJPEDS-IAES (20)

Recently uploaded (20)

Improved Stator Flux Estimation for Direct Torque Control of Induction Motor Drives