Difference between revisions of "MainsFrequency2.0"

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== Introduction ==
 
== Introduction ==
This page is a reboot of this [[MainsFrequency|earlier main frequency counter]].
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This project is a reboot of this [[MainsFrequency|earlier main frequency counter]], aiming for more accuracy and lower latency.
  
 
It's based on the Arduino platform, using an ESP8266 to do the wifi/network/MQTT stuff.
 
It's based on the Arduino platform, using an ESP8266 to do the wifi/network/MQTT stuff.

Revision as of 14:37, 16 March 2023

Project MainsFrequency2.0
Netfrequentiemeter.jpg
A simple mains frequency counter
Status In progress
Contact bertrik
Last Update 2023-03-16

Introduction

This project is a reboot of this earlier main frequency counter, aiming for more accuracy and lower latency.

It's based on the Arduino platform, using an ESP8266 to do the wifi/network/MQTT stuff. The frequency measurement principle is to measure the time between zero crossings (in a statistically robust way).

Concept

Instead of just counting pulses from zero-crossings, we sample the actual 50 Hz waveform and try to estimate the zero-crossing as accurately as possible.

Desired end result

  • get more accurate frequency measurement
  • get more responsive frequency measurement, i.e. instantaneous value, not a running average over 50 seconds.

A suitable module for relatively safely sampling the mains voltage is this ZMPT101B module. It contains a transformer and an op-amp circuit.

More information about this module:

Algorithm for getting accurate instantaneous frequency out of it:

  • Sample the mains frequency waveform during approximately one second (say 5 - 10 kHz)
  • Determine the median, lower and upper quartiles of the waveform, and shift data so its values are symmetrically around zero
  • Calculate zero crossings by doing linear regression to find the zero-crossing of the wave in the region around the zero crossing (in between the quartile values), this gives sub-sample time resolution
  • The linear regression runs a kind of state machine, just keeping track of sum(x), sum(y), sum(x*x), sum(x*y) is enough to perform a linear regression at any time
  • Do this over the approximately 50 cycles contained in the one second data and determine average frequency

-> this should give about 1 millihertz frequency resolution in one second

Hardware

For measurement with an ESP8266, like a Wemos D1 mini or nodemcu, you need to put a 180k ohm resistor in line with the output from the ZMPT101B to the A0 input. The A0 input already has a 220k/100k resistive divider, effectively becoming a 400k/100k resistive divider with the series resistor, scaling down the 0-5V range to the 0-1V range required for the ADC on the ESP8266.

The "blue pill" seems to have too low accuracy of the built-in crystal, about 100 ppm, while we need about 20 ppm to get 1 mHz resolution. Notes about blue pill crystal accuracy: https://sparklogic.ru/arduino-for-stm32/accurate-blue-pill-clock-frequency-adjustment.html

Software

Github project: https://github.com/bertrik/MainsFrequency