I am trying to develop an Irms measurement device for the amps used for compressors and fan motors like those used on Air Conditioning package units (PU) or Roof tops units ( RTU). I am using a 0-30 Amp CT for the measurement .
For development purpose I am using a small fan to measure its amps.
The hardware is an 16 bits Delta Sigma ADC converter with sampling rate of 10,000 sps.
Before the ADC I have added an Low Pass filter( LPF) like anti aliasing.
The code implement the classical equation for RMS value which is :
I was wondering if the LPF insertion can degrade the purpose of the measurement which is get the RMS amps.
My understanding is that because inside of a RTU there are at least one compressor, two fan motors and a couple of contactors there are a high probability to get a noisy signal. This is due to switching compressors fans motors, pick up noise from contactor switching inside the unit and from other RTU units.
So that the anti aliasing filter is necessary but it can avoid sampling the real waveform that the different motors are really using.
I will appreciate some commentary about that.
Thank you very much in advance.
For development purpose I am using a small fan to measure its amps.
The hardware is an 16 bits Delta Sigma ADC converter with sampling rate of 10,000 sps.
Before the ADC I have added an Low Pass filter( LPF) like anti aliasing.
The code implement the classical equation for RMS value which is :
I was wondering if the LPF insertion can degrade the purpose of the measurement which is get the RMS amps.
My understanding is that because inside of a RTU there are at least one compressor, two fan motors and a couple of contactors there are a high probability to get a noisy signal. This is due to switching compressors fans motors, pick up noise from contactor switching inside the unit and from other RTU units.
So that the anti aliasing filter is necessary but it can avoid sampling the real waveform that the different motors are really using.
I will appreciate some commentary about that.
Thank you very much in advance.