2 layers12 × 15.5 mm
Microcontroller
177 boardsKiCad boards from 96 GitHub repositories tagged “microcontroller”, the most starred first; open any of them in PCBKit.
- 2 layers40 × 20 mm
- 2 layers42 × 14.2 mm
- 2 layers15.2 × 10 mm
- 2 layers14 × 12.5 mm
- 2 layers110.5 × 111.1 mm
Teensy eurorack breakout
newdigate/teensy-eurorack
Hardware Design: Eurorack shield for teensy 4.1 with 14 in / 16 out analog channels
78 parts259MIT - 2 layers24.8 × 10.9 mm
USD extender male
newdigate/teensy-eurorack
Hardware Design: Eurorack shield for teensy 4.1 with 14 in / 16 out analog channels
3 parts259MIT - 2 layers142.4 × 81.2 mm
- 2 layers142.4 × 81.2 mm
- 2 layers89 × 123.4 mm
- 2 layers150 × 70 mm
- 2 layers150 × 70 mm
- 2 layers80 × 20.1 mm
- 2 layers47 × 14 mm
- 2 layers53 × 38 mm
- 2 layers41 × 35.4 mm
- 2 layers27.7 × 34.8 mm
- 2 layers27.7 × 34.8 mm
- 2 layers17.6 × 19.1 mm
Geomagnetometer
ZhuYanzhen1/MM32_CLion
本项目是全国大学生智能车竞赛GDUT 2022年极速越野组的项目文件。采用了LQR控制器和多速率卡尔曼融合算法，并在单片机上实现。This project is the project document for the GDUT 2022 Extreme Off-Road Category of the National Student Intelligent Vehicle Competition.
20 parts58AGPL-3.0 - 2 layers50 × 50 mm
Power board
ZhuYanzhen1/MM32_CLion
本项目是全国大学生智能车竞赛GDUT 2022年极速越野组的项目文件。采用了LQR控制器和多速率卡尔曼融合算法，并在单片机上实现。This project is the project document for the GDUT 2022 Extreme Off-Road Category of the National Student Intelligent Vehicle Competition.
88 parts58AGPL-3.0 - 4 layers30 × 40 mm
Bldc driver
ZhuYanzhen1/MM32_CLion
本项目是全国大学生智能车竞赛GDUT 2022年极速越野组的项目文件。采用了LQR控制器和多速率卡尔曼融合算法，并在单片机上实现。This project is the project document for the GDUT 2022 Extreme Off-Road Category of the National Student Intelligent Vehicle Competition.
71 parts58AGPL-3.0 - 2 layers36.5 × 25.9 mm
Uart tt pc
ZhuYanzhen1/MM32_CLion
本项目是全国大学生智能车竞赛GDUT 2022年极速越野组的项目文件。采用了LQR控制器和多速率卡尔曼融合算法，并在单片机上实现。This project is the project document for the GDUT 2022 Extreme Off-Road Category of the National Student Intelligent Vehicle Competition.
15 parts58AGPL-3.0 - 2 layers71.1 × 95.3 mm
- 2 layers61 × 17.8 mm
