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Professor Ross McAree       Professor  Publication 2006   Siegrist, PM and McAree, PR (2006) Tyre-force estimation by Kalman inverse filtering: applications to off-highway mining trucks. Vehicle System Dynamics, 44 12: 921-937. 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.  Professor Ross McAree eSpace Record:   http://espace.library.uq.edu.au/view/UQ:81210     Links:   Link Keywords:   Kalman Filter, Tyre Force, Mining Truck Dynamics, State Estimation, Adams Modelling, Coefficients, Observers, Dynamics, State, Engineering, Mechanical   << Back to Publication List

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