Raspberry pi cnc linux

LinuxCNC on Raspberry

Hello,
I have to control a CNC machin with a Raspberry PI 2, I have to use Linux, LinuxCNC is not obligatory, but strongly recommanded. The problem is that I’m new to Linux and I don’t know how works LinuxCNC. I have installed Linux on my Raspberry with Raspbian NOOBS ( www.raspberrypi.org/downloads/noobs/ ), but I dont know how to install LinuxCNC, I have tried a lot of things, but nothing worked. Can someone explaine me hoe to install LinuxCNC on a Raspberry PI 2.

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Linuxcnc does not run on ARM processors.

Machinekit does and this has a link to an image for the rpi2
groups.google.com/forum/#!topic/machinekit/HGolUP511ps

However please read the comments on the rpi’s suitability as a controller,
it isn’t suitable.

The people saying this are not just shooting the breeze, they know what they are talking about.
They cannot do adequate software stepping and adding hardware boards to do it defeats the initial attraction of a cheap board.

Save yourself a lot of time and effort and buy a second hand desktop x86 from ebay (of a type recommended in the latency test wiki, or elsewhere on the forum).
You will get much better results.

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kamkill wrote: Hello,
I have to control a CNC machin with a Raspberry PI 2, I have to use Linux, LinuxCNC is not obligatory, but strongly recommanded. The problem is that I’m new to Linux and I don’t know how works LinuxCNC. I have installed Linux on my Raspberry with Raspbian NOOBS ( www.raspberrypi.org/downloads/noobs/ ), but I dont know how to install LinuxCNC, I have tried a lot of things, but nothing worked. Can someone explaine me hoe to install LinuxCNC on a Raspberry PI 2.

is this a student project ?
as Arceye has said their are far better ways ,

although a little out of date you can follow this :
wiki.linuxcnc.org/cgi-bin/wiki.pl?RaspbianXenomaiBuild
you would be better off with machinekit , and it would be more up to date

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ArcEye wrote: Linuxcnc does not run on ARM processors.

LinuxCNC 2.7 and master branches do build and run on armhf systems using uspace realtime (this is continuously tested by our buildbot using an odroid u3 board). However, there are no hardware drivers for any of the popular ARM boards in the main tree, and linuxcnc.org doesn’t package realtime kernels for any of the popular ARM boards either.

So the advice that there’s no LinuxCNC solution that is ready to go on this hardware today is correct, but writing a hardware driver is a simpler matter than porting all of LinuxCNC, if you have the inclination to do the work.

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Is this still the case in 2017. no real support for Raspberry Pi?

I had some folks asking, and was curious myself. still thinking the PC or Beaglebone are better options. but I wanted t verify.

Thanks in advance,
Jerry

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I also want to join the question about Raspberry Pi support.
I work on control cards communicating through SPI, which layout is designed for use with Raspberry Pi. One of the boards is designed for stepper motor control and has a hardware FPGA step generator. I think the latest version of Pi has more than enough power to drive any CNC machine.

I’m currently driving our boards using the LinuxCNC system, which has been compiled by the group Machinekit.
Everything around RT tasks and motion control works fine, but there is problem with GPU performance, when I load a bigger nc file, FPS decrease to

1fps and response of system is too delayed.

At the beginning is GUI switched to DRO and response of buttons under mouse is ok, when I switch to preview animation, the response will decrese.

I hope that linuxcnc community will support at least Raspberry Pi and BeagleBone soon. I see the increasing number of attempts to drive some machine by raspberry pi
Some important benefits of RasPi:

• Powerful CPU and GPU for numerical control and GUI
• More suitable peripherals for hardware development such as SPI, compared to x86 motherboards where advanced experience is necessary for develop any PCI, PCI-express, Ethernet boards
• Powerful CPU and GPU for numerical control and GUI
• The board size allows you to build a compact controller

Regards, Viktor

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Raspberry pi cnc linux

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README.md

PyCNC is a free open-source high-performance G-code interpreter and CNC/3D-printer controller. It can run on a variety of Linux-powered ARM-based boards, such as Raspberry Pi, Odroid, Beaglebone and others. This gives you a flexibility to pick a board you are most familiar with, and use everything Linux has to offer, while keeping all your G-code runtime on the same board without a need to have a separate microcontroller for real-time operation. Our choice of Python as main programming language significantly reduces code base compared to C/C++ projects, reduces boilerplate and microcontroller-specific code, and makes the project accessible to a broader audience to tinker with.

Realtime Motor Control in Linux?

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. However, we can use a separate hardware module, DMA (Direct Memory Access) 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
And the original video when PyCNC was just a prototype YouTube video

Current gcode and features support

• Commands G0, G1, G2, G3, G4, G17, G18, G19, G20, G21, G28, G53, G90, G91, G92, M2, M3, M5, M30, M84, M104, M105, M106, M107, M109, M114, M140, M190 are supported. Commands can be easily added, see gmachine.py file.
• Four axis are supported — X, Y, Z, E.
• Circular interpolation for XY, ZX, YZ planes is supported.
• Spindle with rpm control is supported.
• Extruder and bed heaters are supported.
• Hardware watchdog.

PyCNC uses one of DMA channels as hardware watchdog for safety purpose. If board, OS or PyCNC hangs this watchdog should disable all GPIO pins(by switching them into input state, for RPi this would be GPIO0-29) in 15 seconds. Since there is a high current and dangerous devices like heated bed, extruder heater, this feature should prevent uncontrollable overheating. But don’t count on such software features too much, they can hang too or output MOSFET become shorted, use hardware protection like thermal cutoff switches in your machines.

Currently, this project supports Raspberry Pi 1-3. Developed and tested with RPI3. And there is a way to add new boards. See hal.py file.
Note: Current Raspberry Pi implementation uses the same resources as on board 3.5 mm jack(PWM module), so do not use it. HDMI audio works.

All configs are stored in config.py and contain hardware properties, limitations and pin names for hardware control.
Raspberry Pi implementation should be connected to A4988, DRV8825 or any other stepper motor drivers with DIR and STEP pin inputs. Default config is created for Raspberry Pi 2-3 and this wiring config:

So having Raspberry Pi connected this way, there is no need to configure pin map for project. RAMPS v1.4 board can be used for this purpose. Full reference circuit diagram and photos of assembled controller(click to enlarge):

Just clone this repo and run ./pycnc from repo root. It will start in interactive terminal mode where gcode commands can be entered manually.
To run file with gcode commands, just run ./pycnc filename .
Optionally, pycnc can be installed. Run

in repo root directory to install it. After than, pycnc command will be added to system path. To remove installation, just run:

Pure Python interpreter would not 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:

Nothing for runtime. Just pure Python code. For uploading to PyPi there is a need in pandoc :

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