Hi MadTooler,
Regarding Stimulus have you read this?
Bode Screen
Regarding # Samples: - more samples will take longer and provide a more averaged result. Usually a value of 20 works well.
HTH
Regards
How are these test variables for the Bode plots to be determined?
Noise Injection
- Amplitude
- Cutoff Freq Hz
Measure
- # Samples
Thanks.
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Hi MadTooler,
Regarding Stimulus have you read this?
Bode Screen
Regarding # Samples: - more samples will take longer and provide a more averaged result. Usually a value of 20 works well.
HTH
Regards
Regards
TK http://dynomotion.com
Tom,
Yes, read it already, and was left unclear as to how I know what amplitude and cutoff frequency apply to my system.
It states "Noise Amplitude has the same units as Position Measurement." I understand then that the amplitude is in encoder "steps," but how to determine correct for my machine? Is there a use in results of varying amplitudes?
What parameters of my/any machine direct the cutoff frequency value?
Thanks.
Hi MadTooler,
Please see if this article helps:
Dynomotion
Regards
Regards
TK http://dynomotion.com
Tom,
I had also read that one. It still seems like such a best guess as long as it is not shaking itself to death approach. I am reaching for some values of calculations that start things in the right ballpark.
I have found, from pure experimentation, that 100-300 amplitude seems to treat my machine nice, but have no idea if this range is appropriate. I can achieve acceptable plots, but again do not know if I have set the bar at the wrong level.
I am mostly using the 20 hz for the cutoff. Is this a typically suitable value for BDC motors?
I notice I do not typically get the crossover bar and results at the bottom of the plot when I set the frequency higher than 100. I think I understand why if my crossover is under that value.
It seems clear to me that I can fake my understanding of the process well enough to get my machine usable at this point. In the future, I plan to study up on the deeper subject to refine the tune if I choose/need to improve optimization.
Thanks again.