Implementation of Neural Network in Energy Saving of Induction Motor Drives with Indirect Vector Control
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Journal of Theoretical and Applied Information Technology © 2005  2008 JATIT. All rights reserved. www.jatit.org IMPLEMENTATION OF NEURAL NETWORK IN ENERGY SAVING OF INDUCTION MOTOR DRIVES WITH INDIRECT VECTOR CONTROL * A. K. Sharma, **R. A. Gupta, and *** Laxmi Srivastava * Department of Electrical Engineering, UCE, RTU, Kota, India (EMail: aksharma_eck@hotmail.com ) ** Department of Electrical Engineering, MNIT, Jaipur, India (EMail: Ragmnit@rediffmail.com ) *** Department of Electrical Engineering MITS, Gwalior, India (EMail: srivastava@hotmail.com ) ABSTRACT Induction motors are extensively used in industrial and household appliances consume about 54% of the total consumed electrical energy. The need for energy conservation is increasing the requirements for saving the electrical energy. It is therefore important to optimize the efficiency of motor drive systems if significant energy savings are to be obtained. This paper proposes a new control scheme based on artificial neural networks taking advantage of Nola theory which states that at a certain torque and speed operating point there exist only one set of voltage amplitude and frequency that operates the machine at optimum efficiency Keywords: Energy saving, artificial neural network, and induction motor drive constant speed because conventional methods of their speed control have either been expensive or highly inefficient. Various methods have been designed to achieve the best performance of the motor and the approaches used can be classified into three different types. The first, so called “loss model controller”. The second type, named “search controller”. 1. INTRODUCTION The efficiency of Induction Motor when operate at rated speed and load torque is high. Unfortunately for variable load operation the application of the motor at rated flux will cause the iron losses to increase excessively, hence its efficiency will reduce dramatically. In order to reduce the iron losses the flux level should be set lower than rated flux, but this will increase the copper loss. Therefore, to optimize the efficiency of the induction motor drive system at partial load, it is essential to obtain the flux level that minimizes the total motor losses. In air conditioning system, the induction motors are oftenly used to drive a compressor at constant speed operation. However, because the typical load profile of this load is that the load torque varies with speed, therefore implementation of a variable speed...
Journal of Theoretical and Applied Information Technology
© 2005  2008 JATIT. All rights reserved.
www.jatit.org
774
IMPLEMENTATION OF NEURAL NETWORK IN ENERGY
SAVING OF INDUCTION MOTOR DRIVES WITH
INDIRECT VECTOR CONTROL
*
A. K. Sharma,
**
R. A. Gupta, and
***
Laxmi Srivastava
*
Department of Electrical Engineering, UCE, RTU, Kota, India
(EMail: aksharma_eck@hotmail.com )
**
Department of Electrical Engineering, MNIT, Jaipur, India
(EMail: Ragmnit@rediffmail.com )
***
Department of Electrical Engineering MITS, Gwalior, India
(EMail: srivastava@hotmail.com )
ABSTRACT
Induction motors are extensively used in industrial and household appliances consume about 54% of the
total consumed electrical energy. The need for energy conservation is increasing the requirements for
saving the electrical energy. It is therefore important to optimize the efficiency of motor drive systems if
significant energy savings are to be obtained. This paper proposes a new control scheme based on artificial
neural networks taking advantage of Nola theory which states that at a certain torque and speed operating
point there exist only one set of voltage amplitude and frequency that operates the machine at optimum
efficiency
Keywords: Energy saving, artificial neural network, and induction motor drive
1. INTRODUCTION
The efficiency of Induction Motor when operate at
rated speed and load torque is high. Unfortunately
for variable load operation the application of the
motor at rated flux will cause the iron losses to
increase excessively, hence its efficiency will
reduce dramatically. In order to reduce the iron
losses the flux level should be set lower than rated
flux, but this will increase the copper loss.
Therefore, to optimize the efficiency of the
induction motor drive system at partial load, it is
essential to obtain the flux level that minimizes the
total motor losses.
In air conditioning system, the induction motors
are oftenly used to drive a compressor at constant
speed operation. However, because the typical
load profile of this load is that the load torque
varies with speed, therefore implementation of a
variable speed drive for it is potential to increase
energy saving. Because of their easy
implementation and low cost, indirect field
oriented induction machine drives are finding
numerous industrial applications. Most of the
industrials motors are used today are in fact
induction motors. Induction motors have been
used in the past mainly in applications requiring a
constant speed because conventional methods of
their speed control have either been expensive or
highly inefficient. Various methods have been
designed to achieve the best performance of the
motor and the approaches used can be classified
into three different types. The first, so called “loss
model controller”. The second type, named
“search controller”.
2. FIELD ORIENTED CONTROL SCHEME
In this system, the flux coordinates reference
frame is locked to the rotor flux vector rotating at
the stator frequency as shown in Fig. 2. This
results in a decoupling of the variables so that flux
and torque can be separately controlled by stator
directaxis current and quadratureaxis current
respectively.
The vector control is applicable to both induction
and synchronous motor drive, It is also known as
decoupling, orthogonal or transvector control.
The designed control algorithm is divided in two
parts: one part whose task is to translate the motor
from one operating. The FOC block used here gets
the value of the flux and voltage frequency ratio to
give gating pulses to the inverter which controls
the voltage being fed to the induction motor and
hence the efficiency optimization is obtained to
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Implementation of Neural Network in Energy Saving of Induction Motor Drives with Indirect Vector Control

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Implementation of Neural Network in Energy Saving of Induction Motor Drives with Indirect Vector Control
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