Cengiz Özemli
Akademisyen
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## AI-Powered Motor Control Software from STMicroelectronics
STMicroelectronics has announced its new AI-powered motor control software package, which facilitates predictive maintenance and vibration monitoring features in industrial motor drives.
The released FP-IND-MCAI1 function pack allows for rapid integration of machine learning into motor control systems and evaluation of AI-powered optimization on the EVLSPIN32G4-ACT evaluation board.
### AI-Powered Motor Behavior Classification
The software, with its pre-configured machine learning model, can identify three motor states:
- Normal operation
- High vibration level
- Unstable motor behavior
This feature enables engineers to perform predictive maintenance and fault detection in industrial drives, robotics, home appliances, and actuator systems.
### Hardware Platform and Motor Drive System
The EVLSPIN32G4-ACT evaluation board supports three-phase brushless DC motors up to 250 W and can connect with vibration sensing modules such as STEVAL-C34KAT1 or STWIN.box multi-sensor kits.
At the heart of the reference design is the compact STSPIN32G4 motor driver system package, which integrates an Arm® Cortex®-M4 microcontroller, half-bridge gate drivers, bootstrap diodes, and protection features. This system supports field-oriented control (FOC) or 6-step motor control with a MOSFET power stage, current sensing amplifiers, and a temperature sensor circuit.
### Technical Specifications
- Software package: FP-IND-MCAI1
- Evaluation board: EVLSPIN32G4-ACT
- Motor type: Three-phase brushless DC motor
- Motor power: Up to 250 W
- Sensor compatibility: Vibration sensing modules, digital Hall sensors, incremental encoders
- Machine learning model: 3 motor state classifications
- Microcontroller: Arm Cortex-M4
- Package size: 9 mm × 9 mm
- Control methods: Field-oriented control (FOC), 6-step motor control
### Software and User Tools
Motor control can be configured and monitored with the STM32 Motor Control Software Development Kit (MCSDK), and the machine learning model can be customized with NanoEdge™ AI Studio. This allows for the creation of additional motor state classes.
### Availability and Demonstration
The FP-IND-MCAI1 software package is available for free download, while the EVLSPIN32G4-ACT evaluation board can be purchased from distributors and STMicroelectronics' online store. The company will showcase these AI-powered motor control solutions at the Embedded World exhibition in Nuremberg in 2026.
This development is considered a significant step for AI-powered management and maintenance processes in industrial motor drives.
