A Multirate Field Construction Technique for Efficient Modeling of the Fields and Forces within Inverter-Fed Induction Machines Dezheng Wu, Steve Pekarek.

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A Multirate Field Construction Technique for Efficient Modeling of the Fields and Forces within Inverter-Fed Induction Machines Dezheng Wu, Steve Pekarek School of Electrical and Computer Engineering Purdue University September 30, 2010

Motivation for Research Fields-based modeling of machines valuable analysis tool –Investigate slot geometries, material properties –Calculate force vector (radial and tangential) –Readily model induced currents in magnetic material Limitation as a design tool –Numerical computation expensive Field construction –Attempt to establish a fields-based model while minimizing computation requirements –FC of induction machine initially considered by O’Connell/Krein in parallel with Wu/Pekarek 2

Field Construction – Basic Idea Use a minimal number of FEA solutions to characterize machine behavior –Create basis functions for stator and rotor magnetic fields ‘Construct’ the magnetic field in the airgap using stator field and rotor basis functions under arbitrary current B n =B ns +B nr B t =B ts +B tr Calculate torque and radial force using the Maxwell Stress Tensor (MST) method under arbitrary stator excitation and rotor speed 3

Assumptions The flux density in the axial direction is zero Hysteresis in the iron is neglected Thermal conditions are assumed constant No deformation occurs in stator and rotor teeth Linear magnetics 4

Stator Basis Function Derivation k ns k ts 5

Rotor Basis Function (k nr,k tr ) Derivation Impulse Response 1. Set a discrete-time impulse input to a transient FEA program i as (t) = I 0 when t = t 0 i as (t) = 0 when t ≠ t 0 2. Record the flux density components (B nid, B tid ) for t ≥ t Subtract the stator magnetic field B nr = B nid – i as k ns, B tr = B tid – i as k ts 4. Divided by I 0 k nr = B nr / I 0, k tr = B tr / I 0 6

Complete Characterization Process 7

Magnetic Flux Density Due to Stator The flux density generated by arbitrary stator phase-a current is approximated as Due to symmetry, the total flux density generated by stator currents 8

Magnetic Flux Density Due to Rotor Obtain rotor magnetic field using the convolution of stator current signal and rotor basis function where x can be ‘n’ or ‘t’ due to i as due to i bs due to i cs 9

Complete Field Construction – Stator Current as Model Input Obtain the total flux density in the discrete-time form In the computer, the discrete convolution of the stator current and rotor basis function where x can be ‘n’ or ‘t’ 10

11 Voltage-Input-Based FC Technique v  i Current-input- based FC i v B n, B t Basic idea: Stator voltage equations are used to relate voltage and current: where  is the angular speed of an arbitrary reference frame, and the flux linkages are expressed as Due to the induced rotor current Unknowns : L ss, L ls, λ qs,r, λ ds,r

12 Characterization of Rotor Basis Flux Linkage Use the same FEA solutions as in the characterization of stator and rotor basis functions. Impulse response (vector)

13 Calculate qs,r, ds,r Procedure: 1.convolution. 2.transformation between reference frames where  r is the electric rotor angle, and  is the angle of the reference frame

14 Voltage-Input Based FC Diagram Then i qd0s  i abcs, and i abcs are then used in the current-input-based FC

An Induction Machine Fed By An Inverter 15 A sine-PWM modulation with 3rd-harmonic injection is used. The duty cycles for the three phases are

Challenges 16 Wide Range of Time Scales – (Switching Frequency versus Rotor Time Constant) Resolution of n Hz requires a discrete-time simulation of 1/n second For a simulation with step size h, the maximum frequency obtained using a discrete-time Fourier transform is 1/(2h) Total number of sampling steps in the steady state that is required is 1/(nh) Example: Desired frequency resolution is 1 Hz Step size is 10 μs Total number of simulation steps required in steady state is 100,000. The large size of rotor basis function and amount of sampling steps add difficulties to computer memory and the computational effort.

Computational Burden of FC Dominated by Convolution Assume Flux Densities are Calculated at p points in the Airgap with N samples 17

Multirate Field Construction 18 In the slow subsystem, FC is used with sampling rate of : Input  i as,lf, i bs,lf, i bs,lf Output  B n,lf, B t,lf Low Sampling Reduces Dimension of Convolution Matrix In the fast subsystem, ‘Fast’ FC is used with sampling rate of : Input  i as,hf, i bs,hf, i bs,hf Output  B n,hf, B t,hf Truncate ‘Fast’ Impulse Response at samples Truncated Impulse Response Reduces Dimension of Convolution Matrix Indeed Size of the Matrix Nearly Independent of Switching Frequency Partition Currents into Fast and Slow Components Use ‘slow’ impulse response to calculate ‘slow’ component of flux density Use ‘fast’ impulse response to calculate ‘fast’ component of flux density

Multirate Field Construction 19 High-frequency component i as,hf Low-frequency component i as,lf Re-sampling i as

Example Induction Machine Studied 3-phase 4-pole squirrel-cage induction machine 36 stator slots, 45 rotor slots Rated power: 5 horsepower Rated speed: 1760 rpm r s = 1.2  Machine parametersValue Airgap1.42 mm Rotor outer diameter mm Stator outer diameter228.6 mm Stack length88.9 mm Shaft diameter39.4 mm Lamination materialM-19 Stator winding material Copper Rotor bar materialAluminum Number of turns per coil 22 Number of coils per phase 6 coils in series connection 20

Example Operating Conditions 21  rm =1760 rpm V dc = 280 V Sine-PWM modulation with 3 rd harmonics injected Switching frequency = 1 kHz (set low for FEA computation) Step size of FC = 1 ms (slow subsystem), 0.01 ms (fast subsystem) (oversampled) Nfast = 100 samples B n,lf = O(999 x ) calculations/second B n,hf = O(999 x ) calculations/second If used Single-rate FC = O(999x ) calculations/second Step size of FEA = 0.01 ms

Result – Stator Current 22 FEA ~ 270 hours FC ~ 48 minutes i as Frequency spectrum of i as f sw -2f e f sw +2f e f sw -4f e f sw +4f e

Result -- Torque 23 Torque Frequency spectrum of Torque f sw -3f e f sw +3f e

Conclusions Method to efficiently model fields and forces in inverter-fed induction machines presented –Requires Minimal FEA Evaluations (at Standstill) Multi-rate Leads to Relatively Low Computation Burden –Does Not Increase with Switching Frequency Can be Applied to Flux Density Field Construciton in Iron, i.e. Calculate Core Loss Requires a Partition of Time Scales 24

Acknowledgement This work is made possible through the Office of Naval Research Grant no. N