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Suspension Adaptive Control for Quarter-Car Vehicle Models
Published October 14, 1992 by Associazione Tecnica Dell'Automobile in Italy
Event: 2nd International Conference on Vehicle Comfort Ergonomic, Vibrational, Noise and Thermal Aspects
Both active and semiactive suspension system have been extensively studied in the scientific literature. Generally the suggested solutions are based on various feedback of the state variables of the model representing the vehicle under control. Solutions of this kind were presented in this paper.
Usually the state variables are not available for direct measurement, therefore the control system must include a steady- state optimum observer (Kalman filter). Since the parameters of the road profile model are neither known nor measurable on-line, the Kalman filter should be able to estimate the actual noise environment and adapt its gains to the variable noise parameters.
It is shown that this goal can be achieved using the output variance for estimating the parameters of the input noise. An example, using a simplified 2-DOF vehicle model, shows that the suggested solution gives almost the same performance given by the optimum controller which would require the perfect knowledge of the input noise parameters.