ABSTRACT:
With the improvement in the technology of Microprocessor
and Power Electronics, Induction motor drives with digital control have become
more popular. Artificial intelligent controller (AIC) could be the best
candidate for Induction Motor control. Over the last two decades researchers have
been working to apply AIC for induction motor drives. This is because that AIC
possesses advantages as compared to the conventional PI, PID and their adaptive
versions. The main advantages are that the designs of these controllers do not
depend on accurate system mathematical model and their performances are robust.
In recent years, scientists and researchers have acquired significant
development on various sorts of control theories and methods. Among these
control technologies, intelligent control methods, which are generally regarded
as the aggregation of Fuzzy Logic Control, Neural Network Control , Genetic
Algorithm, and Expert System, have exhibited particular superiorities. The
artificial neural network controller introduced to the system for keeping the
motor speed to be constant when the load varies. The speed control scheme of
vector controlled induction motor drive involves decoupling of the speed and
ref speed into torque and flux producing components. The performance of
artificial neural network based controller's is compared with that of the
conventional proportional integral controller. The dynamic modeling of
Induction motor is done and the performance of the Induction motor drive has
been analyzed for constant and variable loads. By using neuro controller the transient
response of induction machine has been improved greatly and the dynamic
response of the same has been made faster.
KEYWORDS:
1.
Vector Control (VC)
2.
Direct, Dynamic Simulation
3.
Artificial Intelligence (AI)
4.
PI Controller
5.
Artificial Neural Network (ANN)
SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:
EXPECTED SIMULATION RESULTS:
CONCLUSION:
An
Artificial intelligent based vector controlled induction motor has been
presented in this paper. The vector control strategy is developed with Neural
network controller. The conventional vector control of induction motor is
compared with the proposed neural network based controllers, and from the
results it is observed that the performance with neural network controller is
better than PI controller. In steady state condition, the rise time and speed
regulation with conventional controller is more than that of the ANN controller.
During transient condition, the settling time before changing the load and
after changing the load is less in case of ANN controller as compared to PI
controller. It is observed that there is no overshoot in case of ANN
controller. Thus, by using neuro controller the transient response of induction
machine has been improved greatly and the dynamic response of the same has been
made faster.
REFERENCES:
[1] K. L . Shi, T . F. Chan, Y. K. Wong and S.
L . HO, "Modeling and simulation of the three phase induction motor Using
SIMULINK," Int.J. Elect. Enging. Educ., Vol. 36, 1999, pp. 163–172.
[2]
Tze Fun Chan and Keli Shi, "Applied intelligent control of induction motor
drives," IEEE Willey Press, First edition, 2011.
[3]
P.C. Krause, "Analysis of Electrical Machinery and Drives System,
"IEEE Willey Press, 200).
[4]
Ned Mohan, "Advanced Electric Drives: Analysis, Control Modeling using
Simulink,"MNPERE Publication ,2001.
[5]
M. Nasir Uddin and Muhammad Hafeez, "FLC-Based DTC Scheme to Improve the
Dynamic Performance of an IM Drive," IEEE Trans.on Industry Applications ,
Vol -48 , No 2, Mar/Apr 2012, pp 823-831.
