Suspension systems with adjustable dampers and springs are often given as examples of mechatronic systems, as they perfectly embody the involvement of mechanic, electronic and computational systems by means of the integration of components and information processing. The integration of components comprises electromagnets and valves as well as sensors for deflection, pressure and acceleration. Integration by information processing enables the parameter-adaptive suspension and fault diagnosis. Here, changing vehicle properties and errors are detectable and by means of modelbased concepts the variable damper and spring are optimally influenced. Methods and algorithms were developed to identify, control and diagnose faults in case of suspension systems. The RLS algorithm is used to identify the parameters of a quarter car and it is extended to identify a nonlinear or piecewise linear damper characteristic. The efficiency of these algorithms could be proofed in simulations and on a test rig.Two control concepts were presented: The suspension feedback control achieves via a state-space controller, which is design using the MV principle, a direct reaction to road roughness and driving maneuvers. This lowers the operation point in the conflict diagram leading to increased performances. Additionally, a slow adaptation level superimposes this fast feedback level in order to adapt the controller to varying parameters. The mechanism of the parameterfeedback control consists of the series connection of parameter-estimation and control.
Mechatronic semi-active vehicle suspensions
Mechatronisch halbaktive Radaufhängungen für Fahrzeuge
2002
16 Seiten, Bilder, Tabellen, 47 Quellen
Conference paper
English
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