Tyre-force estimation by Kalman inverse filtering: applications to off-highway mining trucks

Abstract

Kalman inverse filtering is used to develop a methodology for real-time estimation of forces acting at the interface between tyre and road on large off-highway mining trucks. The system model formulated is capable of estimating the three components of tyre-force at each wheel of the truck using a practical set of measurements and inputs. Good tracking is obtained by the estimated tyre-forces when compared with those simulated by an ADAMS virtual-truck model. A sensitivity analysis determines the susceptibility of the tyre-force estimates to uncertainties in the truck’s parameters.

Keywords:

• Kalman filter
• Tyre force
• Mining truck dynamics
• State estimation
• ADAMS modelling