Comprehensive collection of video tutorials and webinars demonstrating the MCHP Blockset for MATLAB/Simulink. Learn from experts at MathWorks, Microchip Technology, and academic researchers on topics ranging from motor control to power electronics and embedded code deployment.
7 videos available, organised into three categories: Joint Webinars (Microchip & MathWorks), Microchip Official Videos, and University Research (ctrl-elec project).
Professional webinars co-hosted by Microchip Technology and MathWorks experts, demonstrating Model-Based Design workflows, code generation, and hardware deployment.
This webinar demonstrates how to use Simulink, the Motor Control Blockset, and Embedded Coder to generate C code from motor control algorithms and deploy them to Microchip’s dsPIC digital signal controllers (DSCs), PIC32 and SAM microcontrollers.
Key highlights:
Topics: Field Oriented Control (FOC), Sensorless control, Code generation, dsPIC deployment, PIC32 deployment, SAM deployment, Motor Control Blockset.
Field-oriented control (FOC) is a common technique for precise position control of permanent magnet synchronous motors (PMSM). This webinar shows how to use Simulink to implement FOC algorithms for positioning a PMSM and deploy them on Microchip’s ATSAME70 32-bit microcontroller.
Key highlights:
Topics: PMSM position control, Field Oriented Control (FOC), ATSAME70 MCU, Position feedback, Simulink simulation, Embedded Coder, ARM Cortex-M7.
Learn how to use Model-Based Design to generate C code for a Microchip dsPIC33A microcontroller from a Simulink and Simscape Electrical model of a power factor correction (PFC) controller. This webinar demonstrates the complete workflow from simulation to deployment.
Key highlights:
Topics: Power factor correction (PFC), dsPIC33A microcontroller, Simscape Electrical, Power electronics, Digital power control, Model-Based Design, FPU optimization.
Official video content from Microchip Technology demonstrating the latest microcontroller families and integration with MathWorks tools.
Explore how Microchip’s dsPIC33AK family of devices, combined with MathWorks’ Motor Control Blockset, can simplify motor control projects. This video demonstrates measuring motor parameters, tuning control coefficients, and generating code without needing to re-flash the device.
Key highlights:
Topics: dsPIC33AK microcontroller, Motor Control Blockset, Parameter identification, Real-time tuning, Code generation, Advanced PWM with FEP (Fine Edge Placement).
Video tutorials from the ctrl-elec project, led by Romain DELPOUX (INSA Lyon, Laboratoire Ampère) and Lubin KERHUEL (Microchip Technology). These videos demonstrate advanced motor control techniques, research projects, and educational content for embedded control systems.
Educational video from the ctrl-elec project demonstrating embedded motor control techniques using MATLAB/Simulink and MPLAB Device Blocks for Simulink. Part of the Motor Control University series providing step-by-step guidance for engineers specialising in embedded advanced control for electric motors.
Topics: Embedded motor control, ctrl-elec project, Advanced control strategies, Educational tutorial, INSA Lyon research.
Practical demonstration of advanced motor control algorithms and rapid control prototyping techniques. Shows how MATLAB/Simulink and MPLAB Device Blocks facilitate the implementation of real-time advanced control strategies for electric motors on Microchip microcontrollers.
Topics: Rapid control prototyping, Advanced algorithms, Real-time control, Synchronous motors, ctrl-elec framework.
Advanced tutorial covering sophisticated control techniques for synchronous motors, from surface mounted motors to reluctance motors. Demonstrates the ctrl-elec project’s approach to developing embedded advanced control strategies with university-level research and practical implementation.
Topics: Synchronous motor control, Surface mounted motors, Reluctance motors, Advanced control strategies, Research implementation.
For more information about the ctrl-elec project, including additional tutorials, source code, and documentation:
Credits: Romain DELPOUX (INSA Lyon, Laboratoire Ampère UMR CNRS 5005) & Lubin KERHUEL (Microchip Technology Inc.)