Mastering Distributed Control with Fully Integrated Systems


Large multi-axis or multi-process machines often benefit from additional controllers operating local processes while a main controller coordinates the efforts for the entire machine. In these cases, the additional controllers may need enough processing power to handle multi-axis motion as well as localized I/O.

Instead of the headache of piecing together components, boards for drive and controls, and typical wiring, fully integrated system solutions already exist and can be customized for your specific application. Advanced applications examples include autonomous vehicles, motion profile phasing and offsets, quick tool change-out, extreme high-axis count applications such as flexible tooling, traverse and take-up winding and self-guided solar panel applications.

Join us on May 8th to learn how employing fully integrated motion control systems such as Moog Animatics' SmartMotor can make machines easier to build and quicker to replicate, reduce machine size and possibly eliminate the need for additional control cabinets all together, saving on total machine build cost and ultimately lowering time to market.

Speaker: Hack Summer, Applications Technology Manager, Moog

Hack Summer is the Applications Technology Manager and has been with Animatics for 13 years. Hack's technical training includes U.S. Navy nuclear engineering, mechanical engineering, electrical engineering and over 20 years in the automation and controls field including advanced drive and motor design, machine design for semiconductor manufacturing, biomedical, CNC machining, as well as military conformance design and conformance testing.

Speaker: Andrew Barrett, Sales Engineer, Moog

Andy is a recent graduate from San Jose State University with a BS in Mechanical Engineering. Andy's background includes ten years of experience with motorcycle repair, diagnosis, and sales. He also has experience with different programming languages across various environments.

Click here to view the webinar.