ABSTRACT:
Efficiency
improvement of motor drives is important not only from the viewpoints of energy
loss and hence cost saving, but also from the perspective of environmental
pollution. Several efficiency optimization methods for induction motor (IM)
drives have been introduced nowadays by researchers. Distinctively, artificial
intelligence (AI)-based techniques, in particular Fuzzy Logic (FL) one,
have been emerged as a powerful complement to conventional methods. Design objectives
that are mathematically hard to express can be incorporated into a Fuzzy Logic Controller
(FLC) using simple linguistic terms. The merit of FLC relies on its ability to
express the amount of ambiguity in human reasoning. When the mathematical model
of a process does not exist or exists with uncertainties, FLC has proven to be
one of the best alternatives to move with unknown process. Even when the process
model is well-known, there may still be parameter variation issues and power
electronic systems, which are known to be often approximately defined.
The purpose of
this paper is to demonstrate that a great efficiency improvement of motor drive
can be achieved and hence a significant amount of energy can be saved by
adjusting the flux level according to the applied load of an induction motor by
using an on-line fuzzy logic optimization controller based on a vector control
scheme. An extensive simulation results highlight and confirm the efficiency
improvement with the proposed algorithm.
KEYWORDS
1.
Induction Motor Drive
2.
Indirect Field Oriented Control (IFOC)
3.
Efficiency Enhancement
4.
Losses Minimization
5.
Optimization
6.
Fuzzy Logic
SOFTWARE:
MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig.1, Block diagram of the
optimization system
EXPECTED SIMULATION RESULTS:
Fig.2, Motor Performances
Comparison
Fig.3, Motor efficiency
evolution with motor load
CONCLUSION:
This paper aims to improve the induction
motor drive efficiency that leads to a significant amount of energy saving. This
efficiency enhancement is carried out by adjusting the flux level depending on
the applied load of an induction motor by using an on-line fuzzy logic
optimization controller based on a vector control scheme. A series of the
induction motor drive performances are obtained with a variable load under this
proposed algorithm. The application of the proposed algorithm yields to a
series of simulation performances of the induction motor drive with a variable
load. They present the IM drive efficiency evolution with a certain load profile
with the suggested losses minimization strategy based on fuzzy control and the conventional
field oriented control. The comparison between these two control schemes reveals
that the achieved results are of a great interest. Indeed, the fuzzy control
contributes with a great deal to the efficiency improvement for all operating speeds
particularly in light load region. This contribution conducts to a paramount
energy saving and hence to environment protection.
REFERENCES:
[1] I. Boldea, A. Nasser, The Induction
Machine Design Handbook, CRC Press Inc; 2nd Revised Edition, 2009.
[2] Jinchuan. Li and all, “A new
Optimization Method on Vector Control of Induction Motors”, Electric
Machines and Drives, 2005 IEEE International Conference, 15-18 May 2005,
pp.1995-2001.
[3] H. Sepahv and, Sh. Ferhangi, “Enhancing
Performance of a Fuzzy Efficiency Optimizer for Induction Motor Drives”, Power
Electronics Specialists Conference, 2006. PESC '06. 37th IEEE, 18-22
June.2006, pp.1-5.
[4] Branko Blanusa and all, “An Improved
Search Based Algorithm for Efficiency Optimization in the Induction Motor
Drives”, XLII Konferencija- za ETRAN, Hercy-Novi, 2003.
[5] D. S. Kirischen, D. W. Novoty and T.
A. Lipo, “Optimal Efficiency Control of an Induction Motor Drive”, IEEE
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