Manufacturer Part Number
MKS22FN128VFT12
Manufacturer
NXP Semiconductors
Introduction
The MKS22FN128VFT12 is a high-performance, low-power embedded microcontroller from the Kinetis KS22 series. It features a 32-bit ARM Cortex-M4 core, operating at a maximum speed of 120MHz, and offers a wide range of connectivity options, including CAN bus, I2C, SPI, UART/USART, and USB OTG.
Product Features and Performance
32-bit ARM Cortex-M4 core
120MHz maximum operating frequency
128KB of flash program memory
64KB of RAM
Extensive peripheral set, including DMA, I2S, PWM, and watchdog timer
16-bit ADC and 12-bit DAC
Wide operating voltage range of 1.71V to 3.6V
Operating temperature range of -40°C to 105°C
Product Advantages
High-performance 32-bit ARM Cortex-M4 core
Flexible connectivity options for a wide range of applications
Robust peripheral set for advanced embedded system design
Low-power operation for energy-efficient designs
Wide operating temperature range for harsh environments
Key Reasons to Choose This Product
Powerful and efficient 32-bit ARM Cortex-M4 core
Comprehensive connectivity and peripheral options
Reliable and energy-efficient performance
Suitable for a broad range of embedded applications
Supported by a strong ecosystem of development tools and resources
Quality and Safety Features
Brown-out detection and reset
Power-on reset (POR)
Low-voltage detection (LVD)
Compatibility
The MKS22FN128VFT12 is compatible with other Kinetis KS22 series microcontrollers, allowing for easy migration and scalability across projects.
Application Areas
Industrial automation and control
Motor control and power conversion
Building and home automation
Medical devices
Transportation systems
Wearable electronics
Product Lifecycle
The MKS22FN128VFT12 is an active product, and NXP Semiconductors continues to support and maintain it. There are no known plans for discontinuation at this time. Customers are advised to contact our website's sales team for the most up-to-date information on product availability and any potential alternative or equivalent models.