Motor Control with TI Multicore MCUs Using Simulink

Overview

Are you facing challenges in developing motor control systems for multicore microcontrollers, such as partitioning control algorithms, managing inter-processor communication, or synchronization between cores?

Attend this webinar to learn how Model-Based Design helps you design motor control applications for multicore MCUs such as TI C2000 F2837xD / F2838xD devices.

In this webinar, a MathWorks engineer will highlight issues that can arise when using a multicore MCU for motor control applications. You will learn how to use Simulink with SoC Blockset and Motor Control Blockset to design a two-core implementation of a field-oriented control (FOC) algorithm – higher control-loop rates will be achieved by allocating the current and velocity controllers to the two processor cores.

A TI engineer will discuss TI’s multicore devices and review the architectures that are being used in today’s motor control applications. 

Highlights

• Modeling a velocity control system of a PMSM motor with field-oriented control
• Modeling the TI C2000 F2837xD architecture and simulating the complete system with the dual-core MCU
• Modeling MCU peripheral behavior, such as ADC-PWM synchronization
• Generating the motor control application using Embedded Coder with SoC Blockset
• Deploying the compiled application to the TI Delfino F28379D LaunchPad
• Performing simultaneous real-time multicore on-device profiling

About the Presenters

John Kluza has a background in product management of electrical systems, with experience at Sensata Technologies, Aquion Energy and Satcon Technology Corporation. He currently manages strategic partnerships for embedded hardware companies for MathWorks. John earned a B.S. degree in mechanical engineering from Lehigh University, an M.S. degree in mechanical engineering from Penn State University, and an M.S. in management and engineering from the Sloan School at the Massachusetts Institute of Technology.

Ramesh Ramamoorthy is the Lead Motor Drive System Design Architect with Texas Instruments. Ramesh has wide experience in the design and development of motor drives and power electronics in automotive, industrial and appliance sectors, spanning system architecture design, hardware, software and control systems, and holds three patents. Ramesh earned his bachelor of engineering degree in electrical engineering at the University of Madras and his M.Tech degree in electrical engineer from the Indian Institute of Technology, Madras.

Pradeep Karikere Siddagangaiah is a Development Manager at MathWorks specializing in creating solutions for embedded systems customers. Pradeep joined MathWorks in 2013 and has been building customer solutions that combine MathWorks software with embedded hardware for more than eight years. Pradeep holds a master’s degree in software systems from BITS Pilani, India.