On Tuesday, May 9, 2017 at 12:30:09 PM UTC+10, Brian Schousek wrote:
>
> I'm having good luck achieving microsecond resolution pulse trains using 
> DMA on a Raspberry Pi at near real-time rates, and I'm confident that with 
> some optimization this will be workable for step generation with low cpu 
> usage. I currently have this step generation hacked into a Machinekit 
> configuration which monitors the trajectory planner position pins. When a 
> loop in Python detects a change in axis.0.motor-pos-cmd, for example, it 
> queries axis.0.joint-vel-cmd and creates a stream of n steps at the proper 
> frequency where n is the number of steps that will fit into my millisecond 
> servo loop. 
>
> The DMA library I am using is capable of synchronizing sequential 
> waveforms, so I would like to be able to look ahead in the trajectory 
> planner queue a step or two and construct the waveforms in advance where 
> possible, which should help solve some latency issues. I have a few 
> questions towards achieving this:
>
> 1) Is there a better mechanism to detect a new trajectory step than 
> monitoring changes in the position-commanded HAL pin?
> 2) Is there visibility into the trajectory planning queue somewhere?
> 3) Perhaps these are not exposed in the current Python bindings; if not, 
> is there a good example of accessing it via C calls?
> 4) Are there any other tips on source code areas I should investigate as 
> resources in putting this together?
>
> Brian
>

I have similar questions, although I behind you on the implementation 
curve.  Is there any chance you could add you notes/learnings to the MK 
documentation:
here at [1] is one place you might place any high level insight that you 
feel might help.
here at [2] is probably where you can add the most value :)

If time or other constraints prevent you adding to the docs could you post 
your notes here?

[1]: 
http://www.machinekit.io/docs/code/Code_Notes/#motion-controller-introduction
[2]: 
http://www.machinekit.io/docs/code/Code_Notes/#backlash-and-screw-error-compensation

Best wishes


 

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