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Content provided by Kyle Dando. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kyle Dando or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
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Accelerating Development: NXP's Motor Control Tools and Technologies

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Manage episode 475841058 series 3646678
Content provided by Kyle Dando. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kyle Dando or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Welcome to this episode of the NXP EdgeVerse Techcast! Join hosts Kyle and Bridgette as they dive into the world of motor control with expert Daniel Hou from NXP. Explore the significance of motor control in various Industrial and IoT applications, the latest advancements in the field, and how NXP’s comprehensive solutions—including the MCAT tuning tool, FreeMASTER real-time debugging tool, and Application Code Hub—help developers get their motors running efficiently.

Whether you’re a developer, engineer, or just curious about motor control technologies, this episode is packed with insights you won’t want to miss. Tune in to learn about the future of automated systems, the role of AI in predictive maintenance, and much more!

Additional resources:

www.nxp.com/motorcontrol

MCUXpresso SDK for Motor Control | NXP Semiconductors

00:00 Welcome to the NXP EdgeVerse Techcast

00:49 Introducing Today's Topic: Motor Control

01:16 Meet the Expert: Daniel Hou

01:53 Motor Control in NXP's World

02:07 Emerging Applications and Market Segments

03:26 Product Portfolio and Scalability

05:26 Advanced Applications and Trends

07:05 Motion Control vs. Motor Control

08:17 Technologies for Advanced Solutions

10:04 Artificial Intelligence and Predictive Maintenance

13:49 Designing Motor Control Systems

17:02 Challenges in Motor Control

19:29 NXP's Tools for Developers

23:30 Recap and Closing Remarks

  continue reading

10 episodes

Artwork
iconShare
 
Manage episode 475841058 series 3646678
Content provided by Kyle Dando. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kyle Dando or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Welcome to this episode of the NXP EdgeVerse Techcast! Join hosts Kyle and Bridgette as they dive into the world of motor control with expert Daniel Hou from NXP. Explore the significance of motor control in various Industrial and IoT applications, the latest advancements in the field, and how NXP’s comprehensive solutions—including the MCAT tuning tool, FreeMASTER real-time debugging tool, and Application Code Hub—help developers get their motors running efficiently.

Whether you’re a developer, engineer, or just curious about motor control technologies, this episode is packed with insights you won’t want to miss. Tune in to learn about the future of automated systems, the role of AI in predictive maintenance, and much more!

Additional resources:

www.nxp.com/motorcontrol

MCUXpresso SDK for Motor Control | NXP Semiconductors

00:00 Welcome to the NXP EdgeVerse Techcast

00:49 Introducing Today's Topic: Motor Control

01:16 Meet the Expert: Daniel Hou

01:53 Motor Control in NXP's World

02:07 Emerging Applications and Market Segments

03:26 Product Portfolio and Scalability

05:26 Advanced Applications and Trends

07:05 Motion Control vs. Motor Control

08:17 Technologies for Advanced Solutions

10:04 Artificial Intelligence and Predictive Maintenance

13:49 Designing Motor Control Systems

17:02 Challenges in Motor Control

19:29 NXP's Tools for Developers

23:30 Recap and Closing Remarks

  continue reading

10 episodes

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