This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Advanced State Estimator Design for an Active Suspension
Technical Paper
2011-26-0068
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Event:
SIAT 2011
Language:
English
Abstract
Active suspension systems aim at increasing safety by improving vehicle ride and handling performance while ensuring superior passenger comfort. Good control of this active system can only be achieved by providing the control algorithm with reliable and accurate signals for the required quantities. This paper presents the design and development of a state estimator that accurately provides the information required by a sky-hook controller, using a minimum of sensors. The vehicle inertial parameters are estimated by an algorithm based on Monte Carlo simulations and anthropometric data. All state updating is performed using Kalman filters. The resulting performance enhancement has been proven during test drives.
Authors
Citation
De Bruyne, S., Van Der Auweraer, H., and Anthonis, J., "Advanced State Estimator Design for an Active Suspension," SAE Technical Paper 2011-26-0068, 2011, https://doi.org/10.4271/2011-26-0068.Also In
References
- Van der Auweraer, H. et al. “Virtual and Physical Testing for Design Engineering of Intelligent Vehicles” SAE Paper No. 2009-26-0065 2009
- Hrovat, D. “Survey on Advanced Suspension Developments and Related Optimal Control Applications” Automatica 33 10 1781 1817 1997
- Elbeheiry, E M et al. “Advanced Ground Vehicle Suspension Systems” Vehicle System Dynamics 24 231 258 1995
- Cao, J et al. “State of the Art in Vehicle Active Suspension Adaptive Control Systems Based on Intelligent Methodologies” IEEE Transactions on intelligent transportation systems 9 3 392 405 2008
- Yi, K Song, B S “A New Adaptive Sky-Hook Control of Vehicle Semi-Active Suspensions” Journal of Automobile Engineering 213 293 303 1999
- Gubitosa, M et al. “A Computer Aided Engineering Approach for the Optimal Design of an Active Suspension System” Proc. ASME 2009 International Design Engineering Technical Conferences San Diego, California, USA Aug 30 Sept 2 2009
- Swevers, J et al. “A Model-Free Control Structure for the On-Line Tuning of the Semi-Active Suspension of a Passenger Car” Mechanical Systems and Signal Processing 21 1422 1436 2007
- Fathy, H K et al. “Online Vehicle Mass Estimation Using Recursive Least Squares and Supervisory Data Extraction” American Control Conference 2008 Seattle, Washington, USA June 11-13 2008
- Ryu, J et al. “Vehicle Sideslip and Roll Parameter Estimation Using GPS” AVEC 2002 6th Int. Symposium on advanced vehicle control Hiroshima, Japan 2002
- Bolhasani, M R Azadi, S “Parameter Estimation of Vehicle Handling Model Using Genetic Algorithm” Scientia Iranica 11 1-2 121 127 2004
- Rozyn, M et al. “Identification of Inertial Parameters of an On-Road Vehicle” SAE Paper No. 2007-01-2220 2007
- Solmaz, S et al. “Real-Time Multiple-Model Estimation of Centre of Gravity Position in Automotive Vehicles” Vehicle System Dynamics 46 9 763 788 2008
- Levant, A “Robust Exact Differentiation Via Sliding Mode Technique” Automatica 34 3 379 384 1998
- Ramm, A G Smirnova, A “On Stable Numerical Differentiation” Mathematics of Computation 70 235 1131 1153 2001
- Welch, G Bishop, G “An Introduction to the Kalman Filter” Technical report http://www.cs.unc.edu/∼welch/kalman/