Paper Info
Title
Measuring Suspension Velocity From Acceleration Integration
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 on-line 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.
Year
Venue
Keywords
2018
2018 IEEE 16TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)
artificial neural networks, suspension velocity reconstruction, accelerometer
Field
DocType
ISSN
Suspension (vehicle),Soft sensor,Accelerometer,Control theory,Linearity,Real-time computing,Acceleration,Engineering,Artificial neural network,Relative velocity,Potentiometer
Conference
1935-4576
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Marco Carratu102.37
Antonio Pietrosanto213127.38
Paolo Sommella31611.58
Vincenzo Paciello411222.97