TPS5430
TPS5430 based DC-DC Buck Converter Module with parts from JLCPCB
Install / Use
/learn @M4a1x/TPS5430README
TPS5430
This is a small DC-DC Buck converter board based on the TPS5430 from TI specifically intended to be ordered from JLCPCB with few "extended parts". This was a practice project for me, so please feel free to point out any issues.

Features
- V<sub>in</sub> = 5.5V..36V
- V<sub>in<sub>min</sub></sub> = 1.15 * V<sub>out</sub> (see Datasheet Section 8.2.1.2.8.1)
- V<sub>in<sub>max</sub></sub> = 8.33 * (V<sub>out</sub> + 0.5) (see Datasheet Section 8.2.1.2.8.1)
- V<sub>out</sub> = 1.8V/3.3V/5V/12V (choose via solder bridge)
- Reverse polarity protection with AO3401A p-MOSFET
- 3A (hold)/6A (trip) polyfuse input protection
- The board can be powered with a 2.1mm/5.5mm "standard" Arduino compatible barrel jack connector.
- Status LED
Schematic
The design was done in KiCAD 6 nightly (aka 5.99) and follows the TPS5430 datasheet (Section 8.2.1) reasonably close in the schmatic as well as the layout (Section 10.2).
Deviations are:
- 2x 100uF tantalum capacitors instead of 1x 220uF, since those are basic parts at JLCPCB
- As suggested a 10uF output bypass capacitor is added
- 4x 10uF input capacitors instead of only 1x
- Multiple output voltage options through increased Inductor (47uH instead of 15uH) and solder jumpers. All outputs should work with the full 3A

License
Licensed under CERN-OHL-S v2 or any later version. See LICENSE for more information.
Contact
Max Stabel - https://max.stabel.family/
Project Link: https://github.com/M4a1x/TPS5430
Acknowledgements
- Philip Salamony and his BananaSchplit Project and Video
- ugurozkan52/TPS5430_Power_Module which inspired me to add the output voltage jumpers
Related Skills
node-connect
354.0kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
frontend-design
112.2kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
openai-whisper-api
354.0kTranscribe audio via OpenAI Audio Transcriptions API (Whisper).
qqbot-media
354.0kQQBot 富媒体收发能力。使用 <qqmedia> 标签,系统根据文件扩展名自动识别类型(图片/语音/视频/文件)。
Security Score
Audited on Mar 16, 2026
