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Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

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Page 1: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM

L. O. Henriques, L.G. Rolim, W. I. Suemitsu,

P.J. Costa Branco

Page 2: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Presentation

• Introduction

– Operating modes

• System Training and Operation– Estimator types

• Results– Simulated and experimental

• Conclusions

Page 3: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Introduction

• Necessity for a perfect operation:– Correct excitation of the phases in synchronism with

the rotor position

• Reasons to remove the position sensor:– Cost, reliability, size, weight and inertia

• Basic voltage equation:

n

kkjjj dt

dRiv

1

Page 4: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Operating Modes in Sensorless Control

ba s e

5- Veryh igh speed

4- H ighspeed

3- Lowspeed

2- Very lowspeed

1- S till

Page 5: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Operating Modes in Sensorless Control

•Region 1 and 2: – Counter EMF is smaller than the DC bus voltage.

– Can operate in CR-PWM (hysteresis)

–Drawback: produces significant braking torque

–Voltage pulse injection to measure the inductance

base

5- Veryhigh speed

4- Highspeed

3- Lowspeed

2- Very lowspeed

1- Still

Page 6: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Operating Modes in Sensorless Control

•Region 3– Limitations (precision and accurancy) using diagnosis signal techniques

•Region 4– Operation is single pulse

– Region named “Constant power region”

•Region 5– Requires efficient real time algorithms

Page 7: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

System Training and Operation

• Conventional estimator

dt

di

iiRv

dt

d...

1

Page 8: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

System Training and Operation

• Initial proposed estimator

Page 9: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Voltage Profile Training Data

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 -150

-100

-50

0

50

100

150

Voltage (V)

-8

-6

-4

-2

0

2

4

Filtered Voltage

(V)

time (s) 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6

Page 10: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

System Training and Operation

• Final proposed estimator

Page 11: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

sensor

+

-

Training phase

1/s

Operation phase

Training and Operation Phase

PIController

+

+

Converter+

Motor+

-

NeuroFuzzy

Compensator

NeuroFuzzy

Estimator

filter

Vphases

iref

iref

ipi

i

re f

Page 12: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Simulated Result

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20

10

20

30

40

50

60

70

80

90

Time(s)

Po

siti

on

(deg

ree)

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20

10

20

30

40

50

60

70

Time(s)

spee

d(r

pm

)

estimated real

Page 13: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Experimental Results

0 500 1000 1500-5

0

5 Filtered Phase Voltage

phas

e 1

(vol

t)

0 500 1000 1500-5

0

5

0 500 1000 1500-5

0

5

Sample point #

phas

e 2

(vol

t)ph

ase

3(v

olt)

Page 14: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Experimental Result

0 500 1000 15000

0.5

1

1.5

2Reference current

Sample point #

Am

pere

(A

)

Page 15: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Experimental Result

0 100 200 300 400 50090

95

100

105

110Real Speed

Sample point #

(rpm

)

Page 16: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Experimental Result

Estimated Speed

0 100 200 300 400 50085

90

95

100

105

110

Sample point #

(rpm

)

Page 17: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Experimental Result

0 100 200 300 400 50085

90

95

100

105

110Real and Estimated Speed

Sample point #

(rpm

)

Page 18: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Conclusions

• A review of the torque-speed operating modes is shown

• A new technique of position sensor elimination is presented, based on intelligent techniques with neural nets and fuzzy logic

• Simulated and experimental results demonstrated the feasibility of the technique.

Page 19: Development of a Neuro Fuzzy Technique for Position Sensor Elimination in a SRM L. O. Henriques, L.G. Rolim, W. I. Suemitsu, P.J. Costa Branco

Basic Voltage Equation

n

k

kjdt

djRijv

1

dt

di.

idt

d.jRijv

dt

di.

idt

d.

dt

d)i,(f

dt

di.

ii.Rv.

dt

d 1