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Hybrid Position Sensorless Control of a RSM in the rated speed range Francois Barnard Stellenbosch University Energy Postgraduate Conference 2013

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Page 1: Hybrid Position Sensorless Control of a RSM in the rated speed range Francois Barnard Stellenbosch University Energy Postgraduate Conference 2013

Hybrid Position Sensorless Control of aRSM in the ratedspeed rangeFrancois BarnardStellenbosch University

Energy Postgraduate Conference 2013

Page 2: Hybrid Position Sensorless Control of a RSM in the rated speed range Francois Barnard Stellenbosch University Energy Postgraduate Conference 2013

The RSM• Reluctance Synchronous Machine

• No conductive material (copper/aluminium) on rotor

• Comparable performance under closed-loop control

with feedback

• RSM ASDs have higher operating efficiency compared

to induction machine ASDs

Page 3: Hybrid Position Sensorless Control of a RSM in the rated speed range Francois Barnard Stellenbosch University Energy Postgraduate Conference 2013

Position Sensor• RSM drives require speed/position information

• Position sensors unreliable in comparison with

complete system

• Increase overall cost of systems

• Position estimation eliminates the need for a position

sensor

Page 4: Hybrid Position Sensorless Control of a RSM in the rated speed range Francois Barnard Stellenbosch University Energy Postgraduate Conference 2013

Position Estimation• Fundamental model techniques

(medium to high speed)

• Signal injection saliency based techniques

(standstill to low/medium speed)

• Viable with modern technology

• No single estimation technique sufficiently capable for

all operating conditions

• Hybrid techniques implement different schemes at

different speeds

Page 5: Hybrid Position Sensorless Control of a RSM in the rated speed range Francois Barnard Stellenbosch University Energy Postgraduate Conference 2013

Active Flux Method

Page 6: Hybrid Position Sensorless Control of a RSM in the rated speed range Francois Barnard Stellenbosch University Energy Postgraduate Conference 2013

Active Flux Method

Page 7: Hybrid Position Sensorless Control of a RSM in the rated speed range Francois Barnard Stellenbosch University Energy Postgraduate Conference 2013

Active Flux Method• Simulated speed step response

Page 8: Hybrid Position Sensorless Control of a RSM in the rated speed range Francois Barnard Stellenbosch University Energy Postgraduate Conference 2013

Active Flux Method• Simulated rotor angle tracking (4% error)

Page 9: Hybrid Position Sensorless Control of a RSM in the rated speed range Francois Barnard Stellenbosch University Energy Postgraduate Conference 2013

Arbitrary Injection• Used with standard field oriented control (FOC),

including Space Vector Modulation

• No particular injection voltage required, only the

presence of a current derivative

• Smaller percentage bus voltage than common High

Frequency Injection method – higher torque

• Adapted to be parameter insensitive – detect motor

parameters in the algorithm

Page 10: Hybrid Position Sensorless Control of a RSM in the rated speed range Francois Barnard Stellenbosch University Energy Postgraduate Conference 2013

Arbitrary Injection• Discrete model derived using Euler approximation of

integration

• FOC scheme disregards rotor saliency in estimation

(using isotropic machine model)

• Actual rotor saliency causes estimation error

• Estimation error and applied voltage information

allows calculation of rotor position

Page 11: Hybrid Position Sensorless Control of a RSM in the rated speed range Francois Barnard Stellenbosch University Energy Postgraduate Conference 2013

Hybrid Controller• Arbitrary injection estimated angle used to reconstruct

active flux vector at low speeds

• Deliver sensorless control in entire rated speed range

• Control applicable to variable speed generator

• Use as part of a wind turbine system

Image courtesy of Anusorn P nachol/ FreeDigitalPhotos.net