Uploaded July 2025 | Updated September 2026, 2 weeks ago
Learn how to generate optimal reference current data for efficient torque control, significantly reducing the reliance on extensive dynamometer testing for permanent magnet synchronous motor (PMSM) control.
This on-demand webinar will demonstrate how to use Simulink® and Motor Control Blockset to:
- Leverage constraint curves to efficiently generate optimal reference current (id, iq) data.
- Explore motor parameterization workflows to identify optimal id and iq currents for defined torque and speed requirements.
- Simplify id and iq lookup table (LUT) generation with the LUT-based PMSM Control Reference block.
- Utilize the id and iq LUTs for implementing efficient torque control.
This webinar is for motor control engineers seeking alternatives to overcome the challenges associated with dynamometer testing, focusing on cost-effective, safe, and time-efficient methods for achieving precise and efficient torque control in high-performance motor drives.
Related Resources:
- MATLAB and Simulink for Motor Drives and Traction Motors: bit.ly/3IFZ02U
- Link to download slides used in the video: bit.ly/45ncJ7G
Chapters:
00:00 Introduction
00:59 PMSM's Characterization Workflow
07:05 Define Optimal Currents for FOC
11:08 PMSM Constraint Curves
14:58 Identify Optimal Currents by Case
29:27 MCB's LUT for Optimal Currents
34:08 Demo: LUT Block for IPMSM Control
40:53 Conclusion
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Get a free product trial: goo.gl/ZHFb5u
Learn more about MATLAB: goo.gl/8QV7ZZ
Learn more about Simulink: goo.gl/nqnbLe
See what's new in MATLAB and Simulink: goo.gl/pgGtod
© 2025 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
Learn how to generate optimal reference current data for efficient torque control, significantly reducing the reliance on extensive dynamometer testing for permanent magnet synchronous motor (PMSM) control.
This on-demand webinar will demonstrate how to use Simulink® and Motor Control Blockset to:
- Leverage constraint curves to efficiently generate optimal reference current (id, iq) data.
- Explore motor parameterization workflows to identify optimal id and iq currents for defined torque and speed requirements.
- Simplify id and iq lookup table (LUT) generation with the LUT-based PMSM Control Reference block.
- Utilize the id and iq LUTs for implementing efficient torque control.
This webinar is for motor control engineers seeking alternatives to overcome the challenges associated with dynamometer testing, focusing on cost-effective, safe, and time-efficient methods for achieving precise and efficient torque control in high-performance motor drives.
Related Resources:
- MATLAB and Simulink for Motor Drives and Traction Motors: bit.ly/3IFZ02U
- Link to download slides used in the video: bit.ly/45ncJ7G
Chapters:
00:00 Introduction
00:59 PMSM's Characterization Workflow
07:05 Define Optimal Currents for FOC
11:08 PMSM Constraint Curves
14:58 Identify Optimal Currents by Case
29:27 MCB's LUT for Optimal Currents
34:08 Demo: LUT Block for IPMSM Control
40:53 Conclusion
--------------------------------------------------------------------------------------------------------
Get a free product trial: goo.gl/ZHFb5u
Learn more about MATLAB: goo.gl/8QV7ZZ
Learn more about Simulink: goo.gl/nqnbLe
See what's new in MATLAB and Simulink: goo.gl/pgGtod
© 2025 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
