Platform ST STM32: The STM32 family of 32-bit Flash MCUs based on the ARM Cortex-M processor is designed to offer new degrees of freedom to MCU users. It offers a 32-bit product range that combines very high performance, real-time capabilities, digital signal processing, and low-power, low-voltage operation, while maintaining full integration and ease of development.
Microcontroller |
STM32F722ZET6 |
Frequency |
216MHz |
Flash |
512KB |
RAM |
256KB |
Vendor |
Please use nucleo_f722ze
ID for board option in “platformio.ini” (Project Configuration File):
[env:nucleo_f722ze]
platform = ststm32
board = nucleo_f722ze
You can override default ST Nucleo F722ZE settings per build environment using
board_***
option, where ***
is a JSON object path from
board manifest nucleo_f722ze.json. For example,
board_build.mcu
, board_build.f_cpu
, etc.
[env:nucleo_f722ze]
platform = ststm32
board = nucleo_f722ze
; change microcontroller
board_build.mcu = stm32f722zet6
; change MCU frequency
board_build.f_cpu = 216000000L
ST Nucleo F722ZE supports the next uploading protocols:
blackmagic
jlink
mbed
stlink
Default protocol is mbed
You can change upload protocol using upload_protocol option:
[env:nucleo_f722ze]
platform = ststm32
board = nucleo_f722ze
upload_protocol = mbed
PIO Unified Debugger - “1-click” solution for debugging with a zero configuration.
Warning
You will need to install debug tool drivers depending on your system. Please click on compatible debug tool below for the further instructions and configuration information.
You can switch between debugging Tools & Debug Probes using debug_tool option in “platformio.ini” (Project Configuration File).
ST Nucleo F722ZE has on-board debug probe and IS READY for debugging. You don’t need to use/buy external debug probe.
Compatible Tools |
On-board |
Default |
---|---|---|
Yes |
Yes |
Name |
Description |
---|---|
STM32Cube embedded software libraries, including: The HAL hardware abstraction layer, enabling portability between different STM32 devices via standardized API calls; The Low-Layer (LL) APIs, a light-weight, optimized, expert oriented set of APIs designed for both performance and runtime efficiency. |