학술논문

Modeling and identification of the vehicle suspension characteristics using local linear model trees
Document Type
Conference
Source
Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328) Control applications Control Applications, 1999. Proceedings of the 1999 IEEE International Conference on. 2:1484-1489 vol. 2 1999
Subject
Robotics and Control Systems
Components, Circuits, Devices and Systems
Wheels
Vehicle dynamics
Force measurement
Axles
Springs
Gravity
Radial basis function networks
Vehicle safety
Testing
Computational modeling
Language
Abstract
An automotive MacPherson suspension unit is identified and modeled using a radial basis function network with local linear weighting functions (LOLIMOT). The output of the network represents the nonlinear force characteristic of the spring-and-damper unit in dependency of the measured spring travels at the front axle and the corresponding spring travel velocities. The network parameters are interpreted physically by comparing the five local linear models identified with the network to a physical second-order model of the wheel suspension unit. Implemented in an overall vehicle model the network or its look-up table representation represents an adaptable model of the nonlinear vehicle suspension characteristics.