ABSTRACT:
In this paper a high performance induction motor drive
without speed sensor is investigated. The rotor flux oriented indirect vector
control scheme is used for obtaining high performance. In order to eliminate
the speed sensor, a MRAS based speed estimator is designed for gathering the
rotor speed information. Also a simple but effective loss minimization algorithm
is integrated to calculate the optimal flux for efficiency improvement of the
drive. Complete simulation model is developed in Simulink/MATLAB software. The
performance of the developed system is analyzed with different operating conditions.
KEYWORDS:
1.
Field oriented control
2.
Induction motor
3.
Sensor less
4.
Loss minimization algorithm
SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig. 1. Block
diagram of sensor less IFOC induction motor drive
Fig. 2. Block
diagram of rotor flux based MRAS speed estimator
EXPECTED SIMULATION RESULTS:
Fig. 3. Speed, speed error and flux response with constant (rated) flux
Fig. 4. Speed, speed error and flux response with optimal flux
Fig. 5. Low speed tracking
response of the drive with constant (rated) flux
Fig. 6. Low speed tracking response of
the drive with optimal flux
Fig.
7. Drive response with step load torque with
constant flux mode
Fig. 8.
Drive response with step load torque with optimal flux mode
CONCLUSION:
In
this paper, developed model of sensor less induction motor drive in
Simulink/MATLAB software is investigated. Speed estimator is also developed
using rotor flux based MRAS technique for sensor less operation. For efficiency
improvement particularly under partial loads a model based loss minimization
technique is applied. The drive performance is investigated for constant flux
and the optimal flux. Drive shows good performance with the optimal flux under
various operating conditions
REFERENCES:
[1]
E. Poirier, M. Ghribi and A. Kaddouri, “Loss Minimization Control of Induction
Motor Drives Based on Genetic Algorithms”, IEEE Int. Conf. on Electric Machines
and Drives, pp. 475–478, 2001.
[2]
B. Kumar, ; Y. K Chauhan and V. Shrivastava, “Performance analysis of induction
motor drive with optimal rotor flux for energy efficient operation”, IEEE Int.
Conf. on Advanced Communication Control and Computing Technologies (ICACCCT),
pp. 319 – 322, 2014.
[3]
A.V. Ravi Teja,; C. Chakraborty; S. Maiti and Y. Hori, “A New Model Reference
Adaptive Controller for Four Quadrant Vector Controlled Induction Motor
Drives”, IEEE Transactions on Industrial Electronics, Vol. 59 , No. 10, pp.
3757 – 3767, 2012
.
4] B. Kumar, ; Y. K Chauhan and V. Shrivastava, “Assessment of a fuzzy logic
based MRAS observer used in a Photovoltaic array supplied AC drive”, Frontiers
in Energy, Vol. 8, No.1, pp. 81-89, 2014.
[5]
S.M. Gadoue; D. Giaouris and J.W.Finch, “MRAS Sensorless Vector Control of an
Induction Motor Using New Sliding-Mode and Fuzzy Logic Adaptation Mechanisms”,
IEEE Transactions on EnergyConversion, Vol. 25 , No. 2, pp. 394 – 402, 2010.
