DocumentCode
2945651
Title
Online force estimation for an active suspension control
Author
Graf, Christian ; Kieneke, Rüdiger ; Maas, Jürgen
Author_Institution
Control Eng. & Mechatron. Syst. Lab., Ostwestfalen-Lippe Univ. of Appl. Sci., Lemgo, Germany
fYear
2012
fDate
11-14 July 2012
Firstpage
544
Lastpage
549
Abstract
While the damping of a common cabin of a commercial vehicle is realized with hydraulic based dampers integrated into the air springs of the suspension, the damping forces of the realized active cabin suspension are generated by varying the mass of air inside the air spring volume. To achieve a high bandwidth of vibration suppression, the mass flow of compressed air is controlled using fast switching valves. To design the force controller, the air spring force has to be known for the feedback. Due to the limited design space and to reduce costs, an observer based concept is chosen, utilizing the already available sensor signals for displacement and acceleration. To ensure an accurate and high dynamic force estimation, two nonlinear state estimator concepts are introduced, which are both capable of considering noisy signals as well. The comparison between estimation results and measured signals shows a good correlation. By use of a superimposed vibration control, the cabin accelerations can be reduced by applying optimal damping forces, which is proven by measurements.
Keywords
acceleration; automotive engineering; damping; force control; hydraulic control equipment; optimal control; state estimation; suspensions (mechanical components); valves; vibration control; active cabin suspension control; air mass; air spring force; cabin accelerations; commercial vehicle; common cabin damping; compressed air; costs reduction; damping forces; design space; fast switching valves; force controller; high dynamic force estimation; hydraulic-based dampers; mass flow; noisy signals; nonlinear state estimator concepts; observer-based concept; online force estimation; optimal damping forces; sensor signals; signals measurement; superimposed vibration control; vibration suppression; Covariance matrix; Estimation; Force; Springs; Suspensions; Valves; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference on
Conference_Location
Kachsiung
ISSN
2159-6247
Print_ISBN
978-1-4673-2575-2
Type
conf
DOI
10.1109/AIM.2012.6266057
Filename
6266057
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