In this webinar we will show how to design and implement motor control systems using Simulink and Embedded Coder for NXP S32 microcontrollers. We will introduce Model-Based Design as the premier way to develop embedded control algorithms and demonstrate an automated path to production implementation on NXP S32K MCUs using the S32K144 automotive reference platform. We will feature NXP’s Motor Control Development Toolbox, which has motor control blocks for modeling and simulation and an embedded target that generates highly optimized code for NXP MCUs.

NXP’s Motor Control Development Toolbox includes an extensive Automotive Math and Motor Control Function Libraries developed by NXP’s renowned Motor Control Center of Excellence. The Toolbox also provides peripheral driver blocks, processor optimized math and motor control blocks, software and processor-in-the-loop (SIL/PIL) simulation for algorithm verification, and utilities for MCU profiling and algorithm development.  

• Model-Based Design using Simulink and Embedded Coder for NXP S32 Microcontrollers
• NXP’s Motor Control Development Toolbox with Math and Motor Control Function Libraries
• Production optimized code and SIL/PIL verification and profiling

About the Presenters

Tom Erkkinen is the Embedded Applications Manager at MathWorks. He leads a corporate initiative focused on production code generation. Before joining MathWorks, Tom worked at Lockheed-Martin and NASA developing embedded control algorithms. Tom holds a B.S. degree in Aerospace Engineering from Boston University and an M.S. degree in Mechanical Engineering from Santa Clara University.

John H.  Floros is a Senior Field Application Engineer at NXP.  He leads the customer support for the S32K and MagniV MCUs for North America.  Before joining NXP, John worked at Visteon and A123 developing embedded software for MCUs which included production code generation from Simulink.  John holds a B.S.E and M.S.E in Electrical Engineering from the University of Michigan.