Nikolay Khabarov 1391b03724 reorganise project
2017-05-13 03:52:36 +03:00
2017-05-10 04:25:12 +03:00
2017-05-13 03:52:36 +03:00
2017-05-13 03:52:36 +03:00
2017-05-10 04:25:12 +03:00
2017-05-13 03:52:36 +03:00
2017-05-10 04:25:12 +03:00
2017-05-13 03:52:36 +03:00
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This project bring CNC control for ARM based Linux boards like Raspberry Pi. Typically there is no way to control stepper motors from Linux runtime environment due to the lack of real time GPIO control. Even kernel based modules can not guarantee precise control of pulses for steppers. There is always way out. DMA(Direct Memory Access) is a separated hardware module which provides high precision for GPIO outputs. This module can copy bytes which represent GPIO states from RAM buffer directly to GPIO with some clock based on main chip internal oscillator without using CPU's cores. Using such approach this project generates impulses for moving stepper motors and that is very precise way regardless CPU load and OS time jitter.
This approach also allows to use Python language for this project. Typically, Python is not good choice for real time application, but since project just needs to set up DMA buffers and hardware will do the rest, Python become the perfect choice for easy development of this project.

Video demo - YouTube video

Current command support

G0, G1, G4, G20, G21, G28, G90, G91, G92, M2, M3, M5, M30
Commands can be easily added, see gmachine.py file.

Config

All config is stored in config.py and contains hardware properties, limitations and pin names for hardware control.

Hardware

Currently, this project supports Raspberry Pi 1-3. But there is a way to add new boards. See hal.py file.

Performance notice

Pure Python interpreter wouldn't provide great performance for high speed machines. Overspeeding setting causes motors mispulses and probably lose of trajectory. According to my tests, Raspberry Pi 2 can handle axises with 400 pulses on mm with top velocity ~800 mm per min. There is always way out! :) Use JIT Python implementation like PyPy. RPi2 can handle up to 18000 mm per minute on the machine with 80 steps per millimeter motors with PyPy.
Note: Raspbian has outdated PyPy version in repositories(v4.0). Moreover v4.0 has issue with mmap module implementation. Use PyPy v5.0+, download it for your OS from here.
PyPy installation:

wget wget https://bitbucket.org/pypy/pypy/downloads/pypy2-v5.7.1-linux-armhf-raspbian.tar.bz2
sudo mkdir /opt/pypy
sudo tar xvf pypy2-v5.7.1-linux-armhf-raspbian.tar.bz2 --directory /opt/pypy/ --strip-components=1
sudo ln -s /opt/pypy/bin/pypy /usr/local/bin/pypy

Dependencies

Nothing. Just pure Python code.

GCode simulation

Just a link to a nice web software for gcode files emulation (very helpful for manual creating of gcode files): https://nraynaud.github.io/webgcode/

License

see LICENSE file.

Author

Nikolay Khabarov

Description
PyCNC is a free open-source high-performance G-code interpreter and CNC/3D-printer controller.
Readme MIT 1.6 MiB
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Python 98.2%
Shell 1.3%
G-code 0.5%