Applications
Explore STM32™ Microcontroller Blockset examples that demonstrate modeling, control, and simulation of motor control, power conversion, audio, and deep learning applications for STM32 processor based boards.
The MathWorks® model-based approach enables faster development with fewer engineering resources. It decouples control algorithm development from firmware development and is portable across STM32 processor families. The simulation capability enables offline development, tuning, and validation of control algorithms.
Categories
- Motor Control
Design and develop motor control applications for STM32 processors
- Power Conversion
Build and deploy power conversion applications on STM32 processors in STM32 Microcontroller Blockset
- Audio
Implement real-time audio and signal processing applications on STM32 processors
- Deep Learning
Extend deep learning workflows on STM32 processors for computer vision, image processing, signals, audio, and text analytics
Featured Examples
Generate Motor Control Models for Selected Algorithm and Hardware
Use Motor Control Blockset™ to generate a Simulink® model that is configured for a specific hardware and motor control technique.
Field-Oriented Control of PMSM Using Position Estimated by Neural Network on STM32 Processor Based Boards
Implement field-oriented control (FOC) of a permanent magnet synchronous motor (PMSM) using rotor position estimated by an auto-regressive neural network (ARNN) trained with Deep Learning Toolbox™.
Recognize Handwritten Digits Zero to Nine Using MNIST Data Set on STM32 Processor Boards
Use STM32™ Microcontroller Blockset to recognize digits from zero to nine. The algorithm used in this example recognizes the digits and then outputs a label for the digit.
Fast Serial Data Monitoring on STM32 Boards Using a Two-Model Approach
Implement fast serial data monitoring on STM32 boards using a two-model approach. This approach, as explained in this example, involves a target model deployed on the STM32 hardware board and a host model running on the host computer with STM32® Microcontroller Blockset installed.
Six-Step Commutation of BLDC Motor Using Hall Sensor Feedback for STM32G4xx Based Processors
Control the speed and direction of a three-phase brushless DC (BLDC) motor using the six-step commutation technique in 120-degree conduction mode. The example uses the switching sequence generated by the Six Step Commutation block to control the rotor speed and direction by adjusting the three-phase stator voltages.
Sensorless Field-Oriented Control of PMSM Using STM32 Processor Based Boards
Implements the field-oriented control (FOC) technique to control the speed of a three-phase permanent magnet synchronous motor (PMSM). For details about FOC, see Field-Oriented Control (Motor Control Blockset).
Open-Loop Control of 3-Phase AC Motors Using STM32 Processor Based Boards
Run a three-phase AC motor on an STM32 processor-based board using open-loop scalar.
Voltage Mode Control of DC-DC Buck Converter and Boost Converter Using STMicroelectronics STM32 Processor
Implement a DC-DC buck converter or Boost Converter control system using the B-G474E-DPOW1 Discovery kit for STM32™ Microcontroller Blockset.
