I’m trying to measure the angular velocity of a rotating shaft using an encoder.
An encoder delivers the angular position at certain time.
If the time is known you can in theory calculate the angular velocity by dividing the difference in position by the difference in time between two measurement.
The issue I have is easy to understand in the following example:
- The encoder has a resolution of 1 degree.
- The polling rate is 10Hz.
- The shaft rotates with 11 degree per seconds.
The measurement will looks something like that:
time | position | speed
0 | 0 |
0.1 | 1 | 10
0.2 | 2 | 10
0.3 | 3 | 10
0.4 | 4 | 10
0.5 | 5 | 10
0.6 | 6 | 10
0.7 | 7 | 10
0.8 | 8 | 10
0.9 | 9 | 10
1.0 | 11 | 20
1.1 | 12 | 10
The issue is that you never get the real velocity, obviously with a running median you can get the real velocity, but you get some lag.
I need to measure measure the angular velocity difference between two axis driven by a combustion engine on both side of a coupling to assess of the fitness of said coupling. The shaft will rotate at about 6000[RPM]. The sampling rate is about 10kHz and we want to analyze multiple rotation to make the data is consistent.
At first I tried to implement different filters, but here again there is a lag. Then I tried to implement a fit, which works fine for short measurement, but if the change in velocity is too frequent the function quickly diverges.
Then I tried to cut the data in sub segment and use a fit for each segment, this works fine except that the junction between segment still has a discontinuity.
I tried to find a fit function where I could force the function to go through a specific point to avoid discontinuity, but I have not been able to find such a function.
Does someone know of such a function or an alternative method for this problem?