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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

Description

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.

2

Generate Feed-Forward Flux 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.

3

Generate Parameters for Flux-Based PMSM Block

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.

Optimized Flux-Based PM Controller and Flux-Based PMSM Blocks

Open Model

This example provides a model with optimized Flux-Based PM Controller and Flux-Based PMSM block parameters. To generate the parameters, follow the workflow steps in Generate Optimal Current Controller Calibration Tables for Permanent Magnet Synchronous Motors.

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 51, no. 4 (July/August 2015).

[2] Chen, Xiao, Jiabin Wang, Bhaskar Sen, Panagiotis Lasari, and 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 62, no. 7 (July 2015).

[3] Ottosson, J., and M. Alakula. “A Compact Field Awakening Controller Implementation.” International Symposium on Power Electronics, Electrical Drives, Automation and Motion, July 2006.

See Also

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