Design of Fuzzy logic based
Sliding Mode Controller for
Indirect Vector Control of
Induction Motor
Submitted by :
Nalini
Guided by : Srini Naik
Contents
• Introduction
• Literature Survey
• Technology Used
• Mathematical Modeling
• Project Specification
• Future Scope
Introduction
• The traditional way to control the speed of
induction motors is the V/Hz-control
• Low dynamic performance
• In applications like sensorless drives and
rolling mills quick torque response is
required.
• Desire to replace induction drives led to
vector control
What is Fuzzy logic based vector control?
• Fuzzy logic based Vector control implies that an ac
motor is forced to behave dynamically as a dc motor
by the use of feedback control.
• Always consider the stator frequency to be a variable
quantity.
• Think in synchronous coordinates.
• There are two approaches to vector control:
Direct field oriented current control
Indirect field oriented current control
Literature Survey
• Dynamic model of Induction motors for vector
control by Dal Y. Ohm Drivetech, Inc., Blacksburg,
Virginia.
• A Novel Fuzzy Logic Controller for Indirect Vector
Control Induction Motor Drive by Yang Liyong, Li
Yinghong, Chen Yaai and Li Zhengxi, Shijingshan,
Beijing, China.
• Fuzzy logic based speed controller for vector
controlled cage induction motor drive by Sanjiv
Kumar, Bhim Singh, J.K. Chatterjee,New Delhi
Fuzzy logic based Vector Control
• The technique of vector control based on
separating out the two basic function of stator
current.
• The current is controlled in the d- direct and q-
quardarure directions.
j
ref ref ref
s sd sq
i i
 
i
magnetization
Torque production
Fuzzy Sliding Mode Controller for induction motor
Fig- block diaram of Fuzzy Sliding Mode Controller for induction motor
Mathematical Modeling
• In the controller two inverse transforms are
performed:
1)From the synchronous d-q to the stationary
d-q reference frame;
2) From d*-q* to a*, b*, c*.
A few of the salient features of Fuzzy Sliding Mode Controller
for induction motor are:
•The frequency e of the drive is not controlled (as in scalar
control). The motor is “self-controlled” by using the unit vector to
help control the frequency and phase.
•There is no concern about instability because limiting within the
safe limit automatically limits operation to the stable region.
•Transient response will be fast because torque control by iqs does
not affect flux.
•Vector control allows for speed control in all four quadrants
(without additional control elements) since negative torque is
directly taken care of in vector control.
EXPECTED RESULTS
EXPECTED RESULTS
EXPECTED RESULTS
Indirect vector control based induction motor
Induction motor Speed
Reference Speed and Actual speed
Fuzzy logic based Sliding Mode Controller for induction motor
torque anr torque reference 2
torque anr torque reference 1
torque anr torque reference
stator voltages
stator currents
speederror 1
speederror
speed and speed reference
n
flux trajectory
flux Table
Timer
T
Satur
PI
In1 Out1
NN
PHIr
Is
speed error
Induction Machine
model
TL
Uabc
Te
n
Is _abc
Ir_abc
Is _aB
Ir_aB
PHIs
PHIr
Gain 1
1/5
Gain
-K-
Fuzzy Logic
Controller
Fcn
f(u)
Demux
Demux
Demux
DTC
T
Tf
flux
PHIs
Uphase
Uline
0
Fuzzy logic controller
Dynamic response of motor speed using FLC based sliding mode control
conclusion
The Proposed concept has successfully demonstrated the
application of the proposed fuzzy sliding mode control system
to an indirect field-oriented induction motor drive for tracking
periodic commands.
The design and description of the classical fuzzy logic based
sliding mode controller (SMC) is presented in detail.
Then, the fuzzy logic control is used to mimic the hitting
control law to remove the chattering.
The developed fuzzy logic control with sliding mode control of
induction motor drive shows fast response, smooth
performance, and high dynamic response with speed changing
and transient conditions.

234888945-Vector-Control-of-Induction-Motor.pptx

  • 1.
    Design of Fuzzylogic based Sliding Mode Controller for Indirect Vector Control of Induction Motor Submitted by : Nalini Guided by : Srini Naik
  • 2.
    Contents • Introduction • LiteratureSurvey • Technology Used • Mathematical Modeling • Project Specification • Future Scope
  • 3.
    Introduction • The traditionalway to control the speed of induction motors is the V/Hz-control • Low dynamic performance • In applications like sensorless drives and rolling mills quick torque response is required. • Desire to replace induction drives led to vector control
  • 4.
    What is Fuzzylogic based vector control? • Fuzzy logic based Vector control implies that an ac motor is forced to behave dynamically as a dc motor by the use of feedback control. • Always consider the stator frequency to be a variable quantity. • Think in synchronous coordinates. • There are two approaches to vector control: Direct field oriented current control Indirect field oriented current control
  • 5.
    Literature Survey • Dynamicmodel of Induction motors for vector control by Dal Y. Ohm Drivetech, Inc., Blacksburg, Virginia. • A Novel Fuzzy Logic Controller for Indirect Vector Control Induction Motor Drive by Yang Liyong, Li Yinghong, Chen Yaai and Li Zhengxi, Shijingshan, Beijing, China. • Fuzzy logic based speed controller for vector controlled cage induction motor drive by Sanjiv Kumar, Bhim Singh, J.K. Chatterjee,New Delhi
  • 6.
    Fuzzy logic basedVector Control • The technique of vector control based on separating out the two basic function of stator current. • The current is controlled in the d- direct and q- quardarure directions. j ref ref ref s sd sq i i   i magnetization Torque production
  • 7.
    Fuzzy Sliding ModeController for induction motor Fig- block diaram of Fuzzy Sliding Mode Controller for induction motor
  • 8.
    Mathematical Modeling • Inthe controller two inverse transforms are performed: 1)From the synchronous d-q to the stationary d-q reference frame; 2) From d*-q* to a*, b*, c*.
  • 9.
    A few ofthe salient features of Fuzzy Sliding Mode Controller for induction motor are: •The frequency e of the drive is not controlled (as in scalar control). The motor is “self-controlled” by using the unit vector to help control the frequency and phase. •There is no concern about instability because limiting within the safe limit automatically limits operation to the stable region. •Transient response will be fast because torque control by iqs does not affect flux. •Vector control allows for speed control in all four quadrants (without additional control elements) since negative torque is directly taken care of in vector control.
  • 10.
  • 11.
  • 12.
  • 13.
    Indirect vector controlbased induction motor
  • 14.
  • 15.
    Reference Speed andActual speed
  • 16.
    Fuzzy logic basedSliding Mode Controller for induction motor torque anr torque reference 2 torque anr torque reference 1 torque anr torque reference stator voltages stator currents speederror 1 speederror speed and speed reference n flux trajectory flux Table Timer T Satur PI In1 Out1 NN PHIr Is speed error Induction Machine model TL Uabc Te n Is _abc Ir_abc Is _aB Ir_aB PHIs PHIr Gain 1 1/5 Gain -K- Fuzzy Logic Controller Fcn f(u) Demux Demux Demux DTC T Tf flux PHIs Uphase Uline 0
  • 17.
  • 18.
    Dynamic response ofmotor speed using FLC based sliding mode control
  • 19.
    conclusion The Proposed concepthas successfully demonstrated the application of the proposed fuzzy sliding mode control system to an indirect field-oriented induction motor drive for tracking periodic commands. The design and description of the classical fuzzy logic based sliding mode controller (SMC) is presented in detail. Then, the fuzzy logic control is used to mimic the hitting control law to remove the chattering. The developed fuzzy logic control with sliding mode control of induction motor drive shows fast response, smooth performance, and high dynamic response with speed changing and transient conditions.