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
Link To Document :
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