hoverboard-firmware-hack-FOC
acados
| hoverboard-firmware-hack-FOC | acados | |
|---|---|---|
| 6 | 5 | |
| 990 | 677 | |
| - | 3.0% | |
| 0.0 | 8.9 | |
| 15 days ago | 3 days ago | |
| C | C | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hoverboard-firmware-hack-FOC
- How to troubleshoot this howerboard
-
hoverboard as gate opener, need help
This looks like a simple arduino code: https://github.com/EFeru/hoverboard-firmware-hack-FOC/blob/main/Arduino/hoverserial/hoverserial.ino that you can connect to the hoverboard board. You might not even have to reflash the board (havent' read that far away though).
-
"SICC" feel free to ask any questions if your curious or interested
Wheels are 350 watt hoverboard motors driven by hoverboard main boards i flashed with https://github.com/EFeru/hoverboard-firmware-hack-FOC
-
RC Sofa with 4 hoverboard wheels
The hoverboard controllers have been flashed with this firmware. https://github.com/EFeru/hoverboard-firmware-hack-FOC For control I'm using a Teensy 4.0 microcontroller hooked up via UART. Radio telemetry also works.
-
[HELP]--Need help to build a heavy-duty robot chassis.
Here: https://github.com/EmanuelFeru/hoverboard-firmware-hack-FOC/wiki/Firmware-Compatibility
acados
-
How to understand Model Predictive Control
I would check out CasADi (specifically the opti framework) and or ACADOS. To code up a quick MPC in general is not hard, but to squeeze efficiency and exploit sparsity for good real-time performance is a little more involved and these tools really help with that.
-
Question about Model Predictive Control (MPC) cost function
Generally, nonlinear MPC uses either IPOPT (an interior point method) or sequential quadtraic programming based approaches (google GURBOI, qpoases, qrqp...). A good python framework is CasADi, or its sister project ACADOS. I think there is also a fair amount of literature on learning MPC cost functions from data you could probably find.
-
Show HN: prometeo – a Python-to-C transpiler for high-performance computing
Thanks for the question! My background is in numerical optimization for optimal control. Projects like this https://github.com/acados/acados motivated the development of prometeo. It's mostly about solving optimization problems as fast as possible to make optimal decisions in real-time.
-
Do you know a good free toolbox on mpc control for GNU Octave?
Look at Acados. I didn't use it with Octave, but according the readme it has a interface with Octave.
What are some alternatives?
esp-now - A connectionless Wi-Fi communication protocol
StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)
aquarium - Control the lighting and the heating of the aquarium.
pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.
robodog - Robotic quadruped project.
py2many - Transpiler of Python to many other languages
BMSBattery_S_controllers_firmware - OSEC Open Source E-Bike Controller in a Windows toolchain for a STM8
Octavian.jl - Multi-threaded BLAS-like library that provides pure Julia matrix multiplication
xESC - The xESC is an easy to use, low cost electronic speed controller (ESC) design for sensored brushless DC (BLDC) motors.
Metatheory.jl - General purpose algebraic metaprogramming and symbolic computation library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more.
Hex-Cell-Holder - An OpenSCAD project to generate models of hexagonal lithium cell holders
hpipm - High-performance interior-point-method QP and QCQP solvers