Comparing Wheel Speeds for Traction Control

AI Thread Summary
The discussion focuses on methods for calculating wheel speed differences for traction control, with two proposed options: using an optical encoder to generate a pulse train or employing a DC motor as a generator for voltage corresponding to RPM. The consensus highlights that the optical encoder offers superior accuracy due to its ability to provide high precision angle readouts. Additionally, there is a suggestion to consider other methods for achieving accurate speed measurement. The importance of precise measurements in traction control systems is emphasized. Overall, the optical encoder is recommended as the more effective solution for this application.
lakmalp
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Hi,

I am experimenting with traction controlling of wheels. I have to calculate the speed difference in two wheels (driven and non-driven). I am thinking of these options:

Code:
1. Generate pulse train using optical encoder -> binary counter -> D/A converter -> Take voltage difference using OP amp -> do processing in uC based on the voltage produced by OP amp.
2. Use of a DC motor (in this case a generator) to generate voltage corresponding to the RPM -> Take voltage difference using OP amp -> do processing in uC based on the voltage produced by OP amp.

I have attached a schematic of my project as a pdf to this thread.

Please advice me as to what option would be most accurate or are there any other ways I can accomplish this.

Regards,
/Lakmal
 

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Beyond a doubt, the optical encoder is more accurate. You do not need just a magnetic pickup, you can get a high precision angle readout from the optical encoder.
 
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