RoadTypeRecognition UsingNeural Networks forVehicle SeatVibration Damping
Inamodern vehicle systems oneofthemaingoals to Dmy achieve isdriver 'ssafety, andmanysophisticated systems aremade DummyAccelertion forthat purpose. Vibration isolation forthevehicle seats, andatthe Sensorl_/atio same timeforthedriver, isoneofthechallenging problems. Ss SeatCushlion Parameters ofthecontroller usedfor theisolation canbetunedfor adifferent roadtypes, making theisolation better (specially forthe = .no vehicles like dampers, tractors, field machinery, bulldozers, etc.). In Seat Acceleraton splacement Sensor this paperwepropose themethod whereneural networks areused Seat Eleratzon forroadtype recognition. Themaingoalistoobtain agoodroad Sels_ recognition forthepurposeofbetter vibration damping ofa driver 'ssemiactive controllable seat.Therecognition ofaspecific P Spn;;; roadtype will bebased onthemeasurable parameters ofavehicle.Cabin Acceleration Discrete Fourier Transform ofmeasurable parameters isobtained Sedsor andusedfortheneural network learning. Thedimension ofthe Cabin Position Sensor input vector, asthemainparameter that decides thespeed ofroad recognition, isvaried. Hydral llyl le|