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Sensorless Control of AC Machines

Sensorless Control of AC Machines. Marie Curie ECON2 Nottingham Summer School 08. Cedric Caruana. Objectives. To review the sensorless control of ac machines at low and zero speed To present two techniques: Zero Vector Current Derivative Technique for PMSM

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Sensorless Control of AC Machines

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  1. Sensorless ControlofAC Machines Marie Curie ECON2 Nottingham Summer School 08 Cedric Caruana

  2. Objectives • To review the sensorless control of ac machines at low and zero speed • To present two techniques: • Zero Vector Current Derivative Technique for PMSM • Use of PWM Harmonics for IM Rotor Position Detection Slide: 2

  3. 1.Sensorless Control of AC Machines at Low and Zero Speed Slide: 3

  4. Topics • Background • Injection and Demodulation Techniques • Multiple Saliencies • Saturation Saliency Shift with Load Slide: 4

  5. Why go Sensorless • Objective is to enable vector control without the need of the encoder on the machine shaft • Gains • remove drive dependency on sensors that are external to itself • cost, robustness, reliability • Which market • precision drives, possibly integrated solutions • lower cost, general purpose drives Slide: 5

  6. Methods for Sensorless Control • Fundamental model based Methods • simple realization, however: • parameter dependent • generally fail at low and zero frequency • Signal Injection Methods • exploit saliencies that are not seen by fundamental signals • excite machine at much higher frequency than fundamental • injection setting can ensure that high frequency effects are superimposed to fundamental machine operation • rotor- or flux- position obtained indirectly through response of machine (reflects hf impedance) • parameter independent Slide: 6

  7. L qr(elec) AC Machine Saliency • Salient Pole machine: geometric saliency • Symmetric machines • geometric saliencygenerally negligible • saturation saliency (main fieldand local saturation) • rotor slotting saliency (IMs) ls Slide: 7

  8. Signal Injection Methods • High Frequency Carrier Injection • Rotating Carrier Injection • Pulsating Carrier Injection • Transient Injection • Test Voltage Vector injection superimposed on fundamental PWM • Standard PWM Switching • exploit the switching of the fundamental PWM waveforms Slide: 8

  9. Signal Injection Methods:High Frequency Rotating Carrier Injection • derives two orthogonal position signals • can detect instantaneous rotor / flux position • different demodulation schemes: heterodyning, synchronous filters • easy to implement • requires no additional sensors Slide: 9

  10. derives frame position error signal • tracking observer to obtain • easy to implement • requires no additional sensors Signal Injection Methods:High Frequency Pulsating Carrier Injection • Injection in estimated dqe frame Slide: 10

  11. Signal Injection Methods:Transient Injection • test voltage vector superimposed on fundamental PWM • can detect instantaneous rotor / flux position • needs to measure current derivative • requires synchronous sampling of current derivative • simple combination of readings to obtain position • can be realized WITHOUT test vector injection, using fundamental PWM switching Slide: 11

  12. Comparison of Methods • Different levels of complexity in setting up the injection • hf carrier injection obtained easily through same hardware but observing demodulation scheme complex. Tracking scheme is easy. • transient and PWM switching schemes require synchronization of sampling but algorithm is very easy • Latter techniques require extra sensor. However these can be integrated in the drive. • industrial current transducers have a current derivative signal available internally (Kennel) Slide: 12

  13. Corrupting Harmonics • Ideally machine will only exhibit one saliency • Practical machines will exhibit multiple saliencies; the saliency that is not tracked acts as a disturbance corrupting the position signal/s • Similar effect if the saliency distribution is not sinusoidal • Need to couple the unwanted saliencies to improve the estimation accuracy Slide: 13

  14. Corrupting Harmonics:Saturation and Rotor Slotting Effects (IM) • both rotor geometry and saturation saliency present • saturation saliency acts as a disturbance Slide: 14

  15. Corrupting Harmonics:Higher Order Saturation Harmonics • Ideal and experimental position loci over the stator current angle • Harmonic spectrum of position signal pa for closed slot IM under motoring conditions: (a) 20% and (b) 100% rated torque at 60r/min Slide: 15

  16. Corrupting Harmonics:Nonlinearity of the PWM Inverter • Effect caused by the inverter, not the machine • Generates additional harmonics that coincide with the harmonics of the saturation saliency in high frequency signal injection drives • standard, simple dead-time compensation strategies not effective • complex compensation schemes published in the literature • Less effect on transient excitation schemes Slide: 16

  17. Decoupling of Corrupting Harmonics • Various engineering solutions proposed • Harmonic compensation table (frequency approach) • table stores frequency, amplitude and phase of different harmonics • not effective against inverter nonlinearity effects • Space Modulation Profiling (SMP) (time approach) • table stores corrupting magnetic signature of the machine (obtained during commissioning stage) • effective against inverter nonlinearity effects • tedious to commission • Neural Networks • ease the commissioning of the table • Synchronous filters with memory Slide: 17

  18. Decoupling of Corrupting Harmonics:Space Modulation Profiling (SMP) • Open slot IM under rotating hf carrier injection • shows clear signs of inverter nonlinearity effects • Closed slot IM under transient excitation • not influenced by inverter nonlinearity effects • Both profiles quite complex Slide: 18

  19. Decoupling of Corrupting Harmonics:Real Time Implementation using SMP Table • SMP table referenced through measurable variables like stator current angle • Can compensate saturation saliency, higher order saturation harmonics and inverter nonlinearity effects Slide: 19

  20. Decoupling of Corrupting Harmonics:Considerations • How complex is this compensation • more drive memory required; not considered a problem • Commissioning required. What tests can be done? • How often do we need to commission • might not be portable to different machines • Do we go for a high quality inverter with less ‘nonlinearity’ effects ? • will be more costly • Do we go for off-the-shelf machine or custom machine? • will depend on the application • Can we define criteria for ‘sensorless friendly’ machines? • lcd≠ lcq not sufficient Slide: 20

  21. Load Dependent Saturation Saliency Effects:Phase Displacement • Load dependent phase displacement between the identified and real flux position • Displacement will depend on: • machine: type, construction • injection scheme used • Closed slot IM • relationship is nonlinear • Upper: hf injection (max of around 30°) • Lower: transient injection (max of around 18°) Slide: 21

  22. Load Dependent Saturation Saliency Effects:Compensation of Phase Displacement • Linear approximation possible based on armature reaction effect • parameter dependent • not applicable to closed slot IMs • Lookup table referenced through isq* • Might be less on PMSM due to design (Kennel) Slide: 22

  23. Load Dependent Saturation Saliency Effects:Considerations • More memory required • Not portable to different machines, hence need of commissioning • Do we go for purposely designed machine where this phenomenon is insignificant or predictable Slide: 23

  24. 2.Zero Vector Current Derivative Technique for PMSMs Slide: 24

  25. Objectives • Sensorless Operation of a PMSM Drive without Additional Test Signal Injection • To define a position error signal utilizing both back emf and PMSM magnetic saliency • Analysis and Decoupling of Inverter Nonlinearity Effects • Sensorless operation Slide: 25

  26. Mathematical Model • Consider the voltage equations for a PMSM, in a dq frame orientated to the rotor flux: • On the application of a zero voltage vector: Slide: 26

  27. Saliency Back EMF Definition of Position Error Signal • Under sensorless operation, drive operates in estimated dqe frame • current control forces current in estimated de axis to zero (i.e. ide =0) • In the dqe frame, assuming ide=0 Slide: 27

  28. Examining the Position Error Signal Slide: 28

  29. Proposed Tracking Controller Slide: 29

  30. Test Rig Slide: 30

  31. Acquisition of Current Derivative • TPWM = 266.7s (fPWM = 3.75kHz) • TADC = 66.7s Slide: 31

  32. perr with iqe = 1 A at 1 rpm • perr with iqe = 0 A at 6 rpm • perr with iqe = 1 A at 6 rpm Position Error Signal Components:Plotting perr against dqe frame position error Slide: 32

  33. in real dq frame versus stator current angle Inverter Nonlinearity Effects Slide: 33

  34. Inverter Non-linearity Effects Slide: 34

  35. Inverter Non-linearity Effects • Theoretical • Experimental Slide: 35

  36. Sensorless Torque Control at higher speeds • Torque control in quadrants II and III, -12rpm  55% rated • Torque control in quadrants I and IV, 12rpm  55% rated Slide: 36

  37. Speed change from 0 to 6 (0.4 Hz ele) to 0 rpm at ide* = 0.1 A • Speed change from 0 to 6 (0.4 Hz ele) to 0 rpm at ide* = 11 A Sensorless Torque Control at Low Speed • Speed change from 0 to 6 rpm (0.4Hz ele) at ide* = 0 A Slide: 37

  38. Sensorless Position Initialization • Start from zero speed, rated current • Initial position intentionally set wrong Slide: 38

  39. Sensorless Speed Control • Position error signal polarity correction function Slide: 39

  40. Sensorless Speed Control •  30rpm speed transients Slide: 40

  41. Conclusions • The Principle of the Zero Vector Current Derivative Technique was shown • Back EMF signal is strong enough for sensorless control providing the possibility of implementing this algorithm in any PMSM, even if no saliency is available • Saliency component allows operation of the drive even down to zero speed • Limitation of the method in the very low speed region in two of the four quadrants of operation • dide/dt error signal polarity needs to be adjusted for four operation quadrant operation • Torque and speed control of the sensorless PMSM were shown Slide: 41

  42. 3. Use of PWM Harmonics for IM Rotor Position Detection Slide: 42

  43. Objectives • Rotor position detection of an IM using the PWM Harmonics, without Additional Hf Signal Injection • To define suitable position signals • Analysis and Decoupling of Corrupting harmonics • Rotor position reconstruction • Sensorless operation Slide: 43

  44. PWM Carrier Harmonics • Typical PWM waveforms • Frequency spectrum of 1 PWM cycle • 2nd PWM harmonic shows highest amplitude • Can be regarded as ‘injection signal’ • Floating FFT spectrum Slide: 44

  45. 2nd PWM Voltage Harmonic (fPWM2) • fPWM2 harmonic pulsates at 2fPWM and rotates at we • Amplitude and direction cannot be controlled without compromising the fundamental PWM scheme • Amplitude is variable, reflecting fundamental conditions Slide: 45

  46. Definition of Position Signals • To overcome the variable hf excitation, define an equivalent impedance tensor zPWM2 as follows: • In IMs, |i| does not drop to zero due to magnetizing current • Demodulation scheme: Slide: 46

  47. Test Rig • Off-the-shelf MEZ induction machine • Skewed rotor with semi open slots • Parameters: Slide: 47

  48. Examining the position signals • Rotor geometry modulation quite visible • Additional modulation, apart from saturation saliency effect, depending on position of iPMW2 in ab frame. Assumed to be inverter nonlinearity effect. Slide: 48

  49. Decoupling Saturation Saliency Modulation • Saturation saliency modulation depends on: • imposed stator currents is • relative position of iPWM2 to saturation saliency axis • Latter dependency makes compensation more challenging as relative position is speed dependent • SMP referenced by isq and Slide: 49

  50. Equivalent impedance compensation as functions of isq and at a fixed stator current angle Decoupling Saturation Saliency Modulation • Additional dimension required to decouple inverter nonlinearity effects Slide: 50

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