TY - GEN
T1 - Sprung mass estimation for off-road vehicles via base-excitation suspension dynamics and recursive least squares
AU - Pence, Benjamin L.
AU - Fathy, Hosam K.
AU - Stein, Jeffrey L.
PY - 2009
Y1 - 2009
N2 - This paper presents a novel method for identifying in real time the mass of an off-road vehicle using measurements of sprung and unsprung mass acceleration. The online estimate can be used for vehicle control strategies such as active safety control, traction control, and powertrain control. The online estimate is needed for vehicles whose mass varies significantly from one loading condition to another. Existing off-road mass estimation strategies that use suspension measurements typically require either known suspension force actuation or a priori knowledge of terrain characteristics. Our unique method for estimating online the mass of an offroad vehicle addresses existing limitations by applying baseexcitation concepts to make the measured unsprung mass acceleration become a known input to the recursive leastsquares estimator. We present computer simulations to demonstrate the method, and conclude that the method provides a practical solution for real-time, off-road vehicle mass estimation.
AB - This paper presents a novel method for identifying in real time the mass of an off-road vehicle using measurements of sprung and unsprung mass acceleration. The online estimate can be used for vehicle control strategies such as active safety control, traction control, and powertrain control. The online estimate is needed for vehicles whose mass varies significantly from one loading condition to another. Existing off-road mass estimation strategies that use suspension measurements typically require either known suspension force actuation or a priori knowledge of terrain characteristics. Our unique method for estimating online the mass of an offroad vehicle addresses existing limitations by applying baseexcitation concepts to make the measured unsprung mass acceleration become a known input to the recursive leastsquares estimator. We present computer simulations to demonstrate the method, and conclude that the method provides a practical solution for real-time, off-road vehicle mass estimation.
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U2 - 10.1109/ACC.2009.5160126
DO - 10.1109/ACC.2009.5160126
M3 - Conference contribution
AN - SCOPUS:70449688282
SN - 9781424445240
T3 - Proceedings of the American Control Conference
SP - 5043
EP - 5048
BT - 2009 American Control Conference, ACC 2009
T2 - 2009 American Control Conference, ACC 2009
Y2 - 10 June 2009 through 12 June 2009
ER -