Hello All,
I wanted to use my LDC1000EVM to evaluate the distance from a metallic target. I am interested mainly in the measurement of extremely small distances (my main target is nm range). Hence LDC1000EVM is a good option to progress in this direction. In order to do this I mounted the Sensor & had a target upon a Linear Stage. The target was made of Aluminium & it had a square geometry with dimensions 1.6 cm*1.6 cm & was 1 mm thick. The area dimensions of this target are nearly the same as that of the coil. I made sure that the target was exactly parallel to the coil.Initially the coil was touching the target & the proximity data was at its peak (32767). Then I started to move the target away from the coil. At about 30 microns, the data change occurred . I was recording the distance(mm) & the corresponding proximity data. The proximity data which I recorded was the average of 5000 samples i.e., I recorded the data which was available in the graph .The sensor sampling frequency was the default value of 1 ms. However the strange thing was that after some time, instead of the proximity data being stabilized & remaining at 1 value, it was continuously rising. Always when I wanted to obtain my reading, the proximity data would reach a minimum & then keep increasing continuously . Hence I was forced to record the least reading which occurred & then proceed with the experiment. Due to this I feel that the recordings have become quite inaccurate & the plot of the Proximity Data v/s the Distance is highly non-linear. Also I had got the Linear Stage for a very short time & plan to conduct the experiment again. I have 2 questions in this regard:
1. When I redo the experiment, how should I obtain the proximity data? i.e., should I reduce the number of samples or should I not take the average at all & instead just the minimum value ?
2.Why is it that the proximity data, instead of being stabilized, just keeps increasing ? I am sure that the target is stable & remains at a fixed position upon movement.
Thanks a lot for your time.
With Regards,
Avinash Ravi Koushik