NEAR OPTIMUM CONTROL OF A FULL CAR ACTIVE SUSPENSION SYSTEM

Paolo Lino, Bruno Maione

Abstract

In this paper, a near-optimum control strategy applied to a full car model equipped with an active suspension system is presented. The control law is based on a reduced order model obtained by means of a modal aggregation method, achieving a compromise between computational effort in deriving the control law and system performances. To assess the controller performances, a virtual prototype of the suspension system is developed by using AMESim, an advanced fluid-mechanic developing tool. The virtual prototype could be assumed as a reliable model of the real system enabling to perform safer and cheaper tests than using the real system. Simulation results show the effectiveness of the approach.

References

  1. Al-Holou, N., Lahdhiri, T., Joo, D., Weaver, J., and Al-Abbas, F. (2002). Sliding mode neural network inference fuzzy logic control for active suspension systems. IEEE Transactions on Fuzzy Systems, 10(2):234-246.
  2. Alleyene, A. and Hedrick, J. (1995). Nonlinear adaptive control of active suspensions. IEEE Transactions on Control Systems Technology, 3(1):94-101.
  3. Canale, M., Milanese, M., and Novara, C. (2006). Semi-Active Suspension Control Using 'Fast' ModelPredictive Techniques. IEEE Transactions on Control Systems Technology, 14(6):1034-1046.
  4. Dorato, P., Abdallah, C., and Cerone, V. (2000). Linear Quadratic Control: An Introduction. Krieger Publishing Company, Melbourne.
  5. Fialho, I. and Balas, G. (2002). Road adaptive active suspension design using linear parameter-varying gainscheduling. IEEE Transactions on Control Systems Technology, 10(1):43-54.
  6. Hrovat, D. (1997). Survey of Advanced Suspension Developments and Related Optimal Control Applications. Automatica, 33(10):1781-1817.
  7. Huang, S. and Lin, W. (2003). Adaptive fuzzy controller with sliding surface for vehicle suspension control. IEEE Transactions on Fuzzy Systems, 11(4):550-559.
  8. Ikenaga, S., Lewis, F., Campos, J., and Davis, L. (2000). Active suspension control of ground vehicle based on a full-vehicle model. In ACC 2000, Proceedings of the 2000 American Control Conference.
  9. Jamshidi, M. (1983). Large-Scale Systems: Modeling and Control. Elsevier Science Ltd, Amsterdam.
  10. Lino, P. and Maione, B. (2007). Integrated design of a mechatronic system - the pressure control in common rails. In ICINCO 2007, Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics, Angers, France.
  11. Rajamani, R. and Hedrick, J. (1995). Adaptiver Observers for Active Automotive Suspensions: Theory and Experiment. IEEE Transactions on Control Systems Technology, 3(1):86-93.
  12. IMAGINE S.A. (2004). Roanne, France.
  13. AMESim User Manual v4.2.
  14. Yoshimura, T., Isari, Y., Li, Q., and Hino, J. (1997). Active suspension of motor coaches using skyhook damper and fuzzy logic control. Control Engineering Practice, 5(2):175-184.
  15. Yoshimura, T., Nakaminami, K., Kurimoto, M., and Hino, J. (1999). Active suspension of passenger cars using linear and fuzzy-logic controls. Control Engineering Practice, (7):41-47.
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Paper Citation


in Harvard Style

Lino P. and Maione B. (2008). NEAR OPTIMUM CONTROL OF A FULL CAR ACTIVE SUSPENSION SYSTEM . In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8111-32-6, pages 46-52. DOI: 10.5220/0001498200460052


in Bibtex Style

@conference{icinco08,
author={Paolo Lino and Bruno Maione},
title={NEAR OPTIMUM CONTROL OF A FULL CAR ACTIVE SUSPENSION SYSTEM},
booktitle={Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2008},
pages={46-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001498200460052},
isbn={978-989-8111-32-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - NEAR OPTIMUM CONTROL OF A FULL CAR ACTIVE SUSPENSION SYSTEM
SN - 978-989-8111-32-6
AU - Lino P.
AU - Maione B.
PY - 2008
SP - 46
EP - 52
DO - 10.5220/0001498200460052