Sensorless Control for Symmetric Cage Induction Motor at Zero Frequency: building an experimental ri - PowerPoint PPT Presentation

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Sensorless Control for Symmetric Cage Induction Motor at Zero Frequency: building an experimental ri

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building an experimental rig. After 11 months of the 12-month Marie ... Virtual oscilloscope. Try it! 30 Ago - 1 Sep 2006. EPE-PEMC 2006 - Portoro , Slovenia ... – PowerPoint PPT presentation

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Title: Sensorless Control for Symmetric Cage Induction Motor at Zero Frequency: building an experimental ri


1
Sensorless Controlfor Symmetric Cage Induction
Motorat Zero Frequencybuilding an experimental
rigAfter 11 months of the 12-month Marie Curie
EST fellowship atPEMC groupSchool of Electrical
Electronic Engineeringsupervisors Dr. M.
Sumner, prof. G. AsherMatteo Tomasini PhD
student at the Electric Drives LaboratoryDept.
of Electrical EngineeringUniversity of Padova -
Italy
2
Outline
  • Introduction
  • Building the rig
  • Control platform Host interface
  • Control platform Inverter interface
  • Measurements board
  • di/dt sensor
  • Minimum pulse width PWM
  • Real Time Dead Time Compensation
  • Conclusions

3
Introduction
  • For most kind of controls, rotor speed is
    necessary to control induction motors
  • Position sensors are available on the market, but
    they involve
  • More hardware complexity
  • Higher cost
  • Increased size of the motor
  • Sensor cable
  • Possibility of noise issues
  • Less reliability / more maintenance
  • Incompatibility with hostile environment

4
Introduction
  • To avoid these issues, many sensorless solutions
    have been proposed

Fundamental Model based
Anisotropies based
  • Asymmetries (intentional or not)
  • Rotor slots (better on unskewed
  • open/semiopen slots)
  • Magnetic saturation

They fail to work at zero stator frequency
  • Hi-freq. signal injection
  • Hi-freq. excitation by PWM switching

5
Introduction
Rotor position estimation exploiting rotor slots
anisotropy and Hi-freq excitation by PWM
switching
Rotor slot position
Rotor position
6
Control platform Host interface
TMS320C6713 DSK 32-bit floating point 225MHz DSP
Analog I/O Digital I/O PWM generation Dead time
compensation
HPI Interface board Host program (C, Matlab, )
FPGA board
RTDX (Real Time Data Exchange) CCS (Code
Composer Studio) Host program (C, Matlab,
Excel, )
FORGET IT!!! Incompatible with noisy environments
7
Host interface for TMS320C6713 DSK
HPI Interface board
40 Kbyte/s ( 1float _at_ 10kHz)
8
Host Interface for TMS320C6713 DSK
Virtual oscilloscope
Try it!
9
Control platform Inverter interface
Protections Galvanic insulation
Measurement board
10
Measurement board
From the inverter
Phase A
Phase B
Phase C
di/dt sensors
To the motor
DC bus voltage measurement
di/dt signals conditioning - voltage clamping
- low pass filtering
current measurements
11
Home-made di/dt sensor
Sensitivity 10.1mVs/A
12
Time response of the Home-made di/dt sensor
Home-made di/dt sensor
Current
shelf Rogowski coil di/dt sensor
Sinusoidal current 10Arms, 700Hz
13
Time response of the Home-made di/dt sensor with
Low-pass filter
gt20ms
Load induction motor (V/f control _at_ 25Hz)
14
Minimum pulse width PWM
time shifting of PWM signals
Standard symmetric PWM
Same VTA
15
Example of di/dt measurement during null vector
Note improved Low-pass filtering on phase A.
Noise lt 0.5 of full scale
16
Real Time Dead Time CompensationVoltage error
Note 100ns ? 0.3V
17
Real Time Dead Time Compensation
Big current
Small current
Negative current
Positive current
18
Conclusions
  • Fully satisfied of the whole system
  • Good quality of the di/dt signals (unless spikes)
  • Good performance of the Real Time Dead Time
    Compensation
  • Weakness quite long settling time for current
    derivative
  • Next step
  • Extract the rotor position from di/dt signals

19
Thank you for your attention!
Matteo Tomasini PhD student at the Electric
Drives LaboratoryDept. of Electrical
EngineeringUniversity of Padova - Italy
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