Infineon ARM Cortex M4, XMC4000 Microcontroller, 100-Pin LFBGA

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Förpackningsalternativ:
RS-artikelnummer:
258-1754P
Tillv. art.nr:
XMC4400F100K512BAXUMA1
Tillverkare / varumärke:
Infineon
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Brand

Infineon

Family Name

XMC4000

Package Type

LFBGA

Mounting Type

Surface Mount

Pin Count

100

Device Core

ARM Cortex M4

Infineon Microcontroller, 512kByte Program Memory size, 120MHz Maximum Frequency - XMC4400F100K512BAXUMA1


This microcontroller and is optimised for industrial applications. Featuring an ARM Cortex M4 core, it operates at a maximum frequency of 120MHz and comes in a robust surface mount package with 100 pins. The device supports a typical operating supply voltage 13 to 3.63 V, making it ideal for various embedded microcontroller solutions.

Features & Benefits


• 80KB RAM for efficient data processing and execution
• High-temperature operating range from -40°C to +125°C ensures reliability in harsh environments
• Four 12-bit ADCs facilitate precision data acquisition
• Integrated DMA for efficient data handling and reduced CPU load

Applications


• Utilised in industrial control systems for automation tasks
• Suitable for power conversion in manufacturing
• Effective in motor control systems for precise operation
• Ideal for data acquisition in sensor-based devices
• Used in robotics for real-time processing and communication

How does the dual CAN communication contribute to device functionality?


The dual CAN channels allow for reliable communication between multiple devices, enhancing networking capabilities in automation and industrial systems.

What type of memory does this microcontroller utilise and what are its benefits?


It features 512kB flash memory, providing ample space for complex applications and data storage for various tasks, which is critical for modern embedded systems.

How can this microcontroller improve efficiency in data handling?


The integrated DMA facilitates the transfer of data between peripherals without CPU intervention, allowing for faster and smoother performance in data-intensive applications.