A methodology for optimal semi-active suspension systems performance evaluation

This paper concerns the study of the optimal performance computation of a semi-active suspension evaluated in terms of comfort and handling performances. To this aim the semi-active suspension system is described as a quarter-car model, equipped with a controllable damper, providing an effective representation of the semi-active suspension dynamics. The passive suspension presents dual performances: at low frequency the better comfort performances are ensured by a high damped suspension, whereas the best comfort damping is low at mid and high frequency. The handling performance is perfectly the opposite. This study highlights how this trade-off can be overcome with an optimal control of damping and how the best performances in terms of comfort are reflected in terms of handling and vice verse. The main result of this paper is to propose a methodology allowing for evaluation of handling and comfort lower theoretical filtering bounds, which can be used as a benchmark for any semi-active control design.

[1]  Antonino Risitano,et al.  A soft computing approach to fuzzy sky-hook control of semiactive suspension , 2003, IEEE Trans. Control. Syst. Technol..

[2]  G. Usai,et al.  Design of a Predictive Semiactive Suspension System , 2004 .

[3]  Alberto Bemporad,et al.  Min-max control of constrained uncertain discrete-time linear systems , 2003, IEEE Trans. Autom. Control..

[4]  Sergio M. Savaresi,et al.  SEMI-ACTIVE SUSPENSION CONTROL FOR VEHICLES , 2010 .

[5]  Olivier Sename,et al.  Skyhook and H8 Control of Semi-active Suspensions: Some Practical Aspects , 2003 .

[6]  H. E. Tseng,et al.  Semi-Active Control Laws - Optimal and Sub-Optimal , 1994 .

[7]  Wei-Hsin Liao,et al.  Semiactive Vibration Control of Train Suspension Systems via Magnetorheological Dampers , 2003 .

[8]  R. A. Williams,et al.  Automotive Active Suspensions , 1992 .

[9]  J. Lofberg,et al.  YALMIP : a toolbox for modeling and optimization in MATLAB , 2004, 2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508).

[10]  Charles Poussot-Vassal,et al.  A new semi-active suspension control strategy through LPV technique , 2008 .

[11]  Pierre Geurts,et al.  Extremely randomized trees , 2006, Machine Learning.

[12]  H.E. Tseng,et al.  Hybrid Model Predictive Control Application Towards Optimal Semi-Active Suspension , 2005, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..

[13]  Arthur Gelb,et al.  Multiple-Input Describing Functions and Nonlinear System Design , 1968 .

[14]  Alberto Bemporad,et al.  The explicit linear quadratic regulator for constrained systems , 2003, Autom..

[15]  Xubin Song,et al.  System Non-Linearities Induced by Skyhook Dampers , 2001 .

[16]  R. A. Williams Automotive active suspensions Part 1: Basic principles , 1997 .

[17]  Sergio M. Savaresi,et al.  A Single-Sensor Control Strategy for Semi-Active Suspensions , 2009, IEEE Transactions on Control Systems Technology.

[18]  Dean Karnopp,et al.  Vibration Control Using Semi-Active Force Generators , 1974 .

[19]  Charles Poussot-Vassal,et al.  Semi-Active Suspension Control Design for Vehicles , 2010 .

[20]  D. Hrovat,et al.  Survey of Advanced Suspension Developments and Related Optimal Control Applications, , 1997, Autom..

[21]  Roger M. Goodall,et al.  Mechatronic developments for railway vehicles of the future , 2000 .

[22]  Cristiano Spelta,et al.  Mixed Sky-Hook and ADD: Approaching the Filtering Limits of a Semi-Active Suspension , 2007 .

[23]  Sergio M. Savaresi,et al.  An Application of the Virtual Reference Feedback Tuning Method to a Benchmark Problem , 2003, Eur. J. Control.

[24]  Sergio M. Savaresi,et al.  Approximate linearization via feedback - an overview , 2001, Autom..

[25]  Taketoshi Kawabe,et al.  New semi-active suspension controller design using quasi-linearization and frequency shaping , 1998 .

[26]  Michael Valášek,et al.  Development of semi-active road-friendly truck suspensions , 1998 .