Research of Solenoid Valve CDC Damper Performance Data Compression and Fusion with Active Suspension Control Strategy

Abstract

Solenoid Valve CDC Damper is one of mainstream commercial solutions for Active Suspension. For most of Active Suspension control strategy, CDC dampers are treated as force generator [1]. For getting desirable damper force, CDC Damper performance is necessary. There are two way to describe to CDC damper performance, data lookup and model building. Because of unpredictable extensionality, Data lookup require large of experiment data to maintain accuracy that effect efficiency of lookup algorithm. CDC damper model building involve in field of mechanism, hydrodynamics and electronic. Although model building have high quality of extensionality. But complex algorithm make it hard to implement on control unit. I propose a new way, compressing CDC experiment data by fitting basic valve model. By understanding about construction of one type of Solenoid Valve CDC damper, I build basic damper model based on valve theory, then using experiment data to tune model parameter to fit experiment data. Basic damper model I build is simple and easy to implement on controller unit. Introduction There are several types of Continuous adjustable damping shock absorber, mechanical CDC Damper and MR damper. Solenoid Valve CDC damper is a kind of mechanical CDC damper. Solenoid valve CDC damper has advantage of reliability and durability. And many vehicle producer use it on active suspension or semi-active suspension. Compared with normal passive damper, Solenoid Valve CDC damper has more complex construction. So main solution of describe Solenoid Valve Damper is data lookup. For most Active (Semi-active) Suspension control strategy, CDC damper is view as force generator. By CDC V-F performance curve lookup and velocity of suspension compression get from sensor, controller unit generate certain current to drive solenoid. Then damper will generate damper force as control strategy calculate. There are two way building damper model, physical modeling and curve fitting using neural networks. Neural works have advantage universal property, but extensionality is uncertain. So I choose physical modeling to build Solenoid Valve CDC damper. The main proposal for building model is to make CDC damper generate accuracy damping force as control strategy calculate. Even CDC model is complex, but damper force generating algorithm must be simple and easy to apply on the controller unit. For convenience, CDC damper is short for Solenoid Valve CDC damper below. Basic valve model and CDC Damper Construction Analysis Even construction of CDC damper is complex, but it is combined by several basic valve. So basic valve model is necessary. Circulation hole is common element of damper to generate damping force. The equation to describe hole damp performance is shown below: International Industrial Informatics and Computer Engineering Conference (IIICEC 2015) © 2015. The authors Published by Atlantis Press 792