generate optimal current controller calibration tables for permanent magnet synchronous motors -凯发k8网页登录

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generate optimal current controller calibration tables for permanent magnet synchronous motors

this example uses:

use model-based calibration toolbox™ and powertrain blockset™ to generate optimized current controller and flux parameters for permanent magnet synchronous motor (pmsm) blocks. follow these steps.

step 1: generate current controller parameters

use the model-based calibration toolbox to generate optimized current controller tables for flux-based motor controllers. based on nonlinear motor flux data, the calibration tables optimize:

  • motor efficiency

  • maximum torque per ampere (mtpa)

  • flux weakening

you can use current controller parameters for the flux-based pm controller block.

for the workflow, see .

step 2: generate motor parameters

use matlab® scripts available with powertrain blockset to load flux motor data, visualize the flux surface, and create plots of flux as a function of current.

you can use motor parameters for the flux-based pm controller block.

for the workflow, see .

step 3: generate flux-based pmsm parameters

use matlab scripts available with powertrain blockset to load flux motor data, invert the flux, and create plots of current as a function of flux.

you can use flux-based pmsm parameters for the flux-based pmsm block.

for the workflow, see .

model with optimized parameters

to open a model with optimized parameters for the flux-based pm controller and flux-based pmsm blocks, on the command line, type .

references

[1] hu, dakai, yazan alsmadi, and longya xu. “high fidelity nonlinear ipm modeling based on measured stator winding flux linkage.” ieee® transactions on industry applications, vol. 51, no. 4, july/august 2015.

[2] chen, xiao, jiabin wang, bhaskar sen, panagiotis lasari, tianfu sun. “a high-fidelity and computationally efficient model for interior permanent-magnet machines considering the magnetic saturation, spatial harmonics, and iron loss effect.” ieee transactions on industrial electronics, vol. 62, no. 7, july 2015.

[3] ottosson, j., m. alakula. “a compact field weakening controller implementation.” international symposium on power electronics, electrical drives, automation and motion, july, 2006.

see also

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