Knowing how he suspension works on the track can be beneficial in reducing trial and error which often wastes precious track time.
For this, I built an Arduino-based datalogger using ultrasonic sensors.
First prototype was tested today with good success for front suspension, but suffered from inaccuracies and spikes at the rear [suspension] which I suspect due to the shape of the rear hugger (which was used for the reference point) scattering the ultrasound signal. I’ll try fixing this in the next iteration.
Initially I was worried that wind noise at high speed may be a problem. but I am happy to report that when tested today up to 250kph (GPS reading) the signal from the front suspension reading appears to have suffered very minimal / virtually no distortion.
Some items need fixing too:
1. sampling rate of 5Hz seems low. Need to try for 10Hz.
2. current system works by logging for 10 seconds before pausing for 1 second to write data to SD card. need to explore faster write or longer read time to reduce flatspots in the data.
3. obviously fix the rear suspension sensor.
if this works well, next step is to expand it to other areas, such as lean angle read and tyre temperature sensor/indicator/logger.
Test video of leisure stroll around the track, and some pics below.
Legwaving MotoGP style, while taking a leisurely stride on the Ducati Panigale 1199S around Pukekohe raceway letting the CBR600RR (the camera bike) tag along to film.
There is no definite science yet on legwaving to me. Most of the time I do it for LOLs, although everytime I do it the bike feels very stable under hard braking, making me able to brake harder.
Bonus point for noticing where I got the gears wrong: look for me braking through midcorner.