Renesas Electronics Microcontroller for motor control and AI-based predictive maintenance

Nov. 25, 2020
This microcontroller (MCU) portfolio is designed for industrial automation motor control applications

This microcontroller (MCU) portfolio is designed for industrial automation motor control applications. The four RA6T1 group MCUs are based on the Arm Cortex-M4 core. They operate at 120 MHz and feature a collection of peripherals optimized for high performance and precision motor control. The integrated peripheral functions with high-speed analog help to reduce bill of materials (BOM) cost while boosting motor control performance. For example, a single MCU can control up to two brushless dc (BLDC) motors simultaneously. In addition, the Google TensorFlow Lite Micro framework for TinyML applications adds enhanced failure detection to the MCUs, offering users an intelligent sensorless motor system for predictive maintenance.