You can also see that around 1429ms, those both wheel have speed that reach 0, if you compare with the position graph, it’s because they reach mechanical stop of the wheel ( on my wheel it’s a FFB stop ). Most wheel are going back to 0 speed very quickly except the G25-E ( Arc Team) and my Wheel, it’s because those wheel have low friction, and so they continue to turn on there momentum.

You can see that, at end of graph, when WheelCheck don’t give any force. We can see that other wheel have strong decceleration when deccelerating ( slope is going back to 0 ).This indicate that they have more mechanical friction. Logically my High torque ( 12N.m ) wheel has the more vertical slope when acceleration, when the curve is going away from 0. The more vertical the slope of the graph the more the wheel has torque ( acceleration ). The highest the value, the highest the max speed of the wheel. With this graph it’s way easier to compare wheels. Then I smooth the data with a convolution, I did a 5 pass of convolution with a size of 4 datas. Good news, it’s quite easy to compute speed from position data.īad news, the position data is quite noisy or low frequency for some wheels.įor example the CSR-E has noisy input, and the T500RS is only 100hz in this firmware ( if somebody have more recent data with lastest T500RS firmware please post an answer ).ġst pass of the algo is to interpolating data to 1000hz.

A high torque wheel will be capable to give high force on your hand,and to change the speed of rotation quicklyĢnd thing, is the max speed, when you release the rim for counter steering or when drifting, it’s important that the wheel is capable of turning fast, from several source, it seems that 200rpm is a good value for max speed. What is important on a FFB Wheel for best feeling and immersionġst important thing is the max holded torque of the FFB Wheel, this is the most important thing. The thing is, position of the rim is not very intuitive to compare two FFB Wheel.

Iracing Force Feedback Test Program