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STMicroelectronics Launches AI Motor-Control Software
Machine-learning pack enables predictive maintenance and vibration monitoring for industrial motor drives.
www.st.com
STMicroelectronics has released a new AI-enabled motor-control software package designed to simplify the development of intelligent motor drives with predictive maintenance capabilities.
The FP-IND-MCAI1 function pack allows developers to quickly integrate machine learning (ML) into motor-control systems and evaluate AI-assisted optimization using the EVLSPIN32G4-ACT evaluation board.
AI-powered motor behavior classification
The software includes a preconfigured ML model capable of identifying three types of motor conditions:
- Normal operation
- High vibration levels
- Unstable motor behavior
This capability helps engineers implement predictive maintenance and fault detection in industrial drives, robotics, home appliances, and actuator systems.
The function pack also includes a reference application that drives a low-voltage three-phase brushless motor using field-oriented control (FOC) along with hardware abstraction layer (HAL) drivers and board-specific libraries.
Hardware platform for AI-enabled drives
The EVLSPIN32G4-ACT evaluation board supports three-phase brushless DC motors up to 250 W and can connect to vibration-sensing modules such as the STEVAL-C34KAT1 or the STWIN.box multi-sensor kit.
Developers can configure and monitor the motor using the STM32 Motor-Control Software Development Kit (MCSDK) and customize the ML model with NanoEdge™ AI Studio, enabling additional motor-condition classes to be created.
Integrated motor-drive system
At the core of the reference design is the STSPIN32G4 motor-drive system-in-package, which integrates:
The function pack also includes a reference application that drives a low-voltage three-phase brushless motor using field-oriented control (FOC) along with hardware abstraction layer (HAL) drivers and board-specific libraries.
Hardware platform for AI-enabled drives
The EVLSPIN32G4-ACT evaluation board supports three-phase brushless DC motors up to 250 W and can connect to vibration-sensing modules such as the STEVAL-C34KAT1 or the STWIN.box multi-sensor kit.
Developers can configure and monitor the motor using the STM32 Motor-Control Software Development Kit (MCSDK) and customize the ML model with NanoEdge™ AI Studio, enabling additional motor-condition classes to be created.
Integrated motor-drive system
At the core of the reference design is the STSPIN32G4 motor-drive system-in-package, which integrates:
- An Arm® Cortex®-M4 microcontroller
- Half-bridge gate drivers
- Bootstrap diodes and protection features
The compact 9 mm × 9 mm package works with a MOSFET power stage, current-sense amplifiers and temperature sensing circuitry to support FOC or 6-step motor control.
The system supports both three-shunt and single-shunt current sensing and accepts speed or position feedback through digital Hall sensors or incremental quadrature encoders.
Development tools available now
The FP-IND-MCAI1 software pack is available for free download, while the EVLSPIN32G4-ACT evaluation board is available through distributors and the company’s online store.
STMicroelectronics will also demonstrate its AI-enabled motor-control solutions at Embedded World 2026 in Nuremberg, where the company’s booth is located in Hall 4A, Stand 148.
Edited by an industrial journalist, Lekshman Ramdas.
www.st.com
The system supports both three-shunt and single-shunt current sensing and accepts speed or position feedback through digital Hall sensors or incremental quadrature encoders.
Development tools available now
The FP-IND-MCAI1 software pack is available for free download, while the EVLSPIN32G4-ACT evaluation board is available through distributors and the company’s online store.
STMicroelectronics will also demonstrate its AI-enabled motor-control solutions at Embedded World 2026 in Nuremberg, where the company’s booth is located in Hall 4A, Stand 148.
Edited by an industrial journalist, Lekshman Ramdas.
www.st.com
