Semi-active suspension control is able to regulate the damping forces by measuring the relative velocity of the wheels respect to the vehicle body. The adoption of linear potentiometers (the most used sensors in racing for linearity and simplicity) reveals to be expensive for mass market and unreliable in the long run. The paper deals with the validation of a soft sensor for the online estimation of the suspension velocity from acceleration signals. Main features of the soft sensor implementation according to different approaches (based on time-domain integration and Artificial Neural Networks respectively) are discussed with reference to the typical requirements for the real-time prediction of the suspension velocity.
Measuring suspension velocity from acceleration integration
Paciello, Vincenzo
2018-01-01
Abstract
Semi-active suspension control is able to regulate the damping forces by measuring the relative velocity of the wheels respect to the vehicle body. The adoption of linear potentiometers (the most used sensors in racing for linearity and simplicity) reveals to be expensive for mass market and unreliable in the long run. The paper deals with the validation of a soft sensor for the online estimation of the suspension velocity from acceleration signals. Main features of the soft sensor implementation according to different approaches (based on time-domain integration and Artificial Neural Networks respectively) are discussed with reference to the typical requirements for the real-time prediction of the suspension velocity.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
