Heavy truck suspension optimization based on modified skyhook damping control

This paper presents a multi-objective optimization strategy for heavy truck suspension systems based on modified skyhook damping (MSD) control, which improves ride comfort and road-friendliness simultaneously. A four-axle heavy truck-road coupling system model was established using functional virtual prototype technology; the model was then validated through a ride comfort test. As the mechanical properties and time lag of dampers were taken into account, MSD control of active and semi-active dampers was implemented using Matlab/Simulink. Through co-simulations with Adams and Matlab, the effects of passive, semi-active MSD control, and active MSD control were analyzed and compared; thus, control parameters which afforded the best integrated performance were chosen. Simulation results indicated that MSD control improves a truck’s ride comfort and roadfriendliness, while the semi-active MSD control damper obtains road-friendliness comparable to the active MSD control damper.

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

[2]  Rolf Isermann,et al.  Mechatronic semi-active and active vehicle suspensions , 2004 .

[3]  Reto Cantieni,et al.  Dynamic Interaction Between Vehicle and Infrastructure Experiment , 2000 .

[4]  David J. Cole,et al.  Truck Suspension Design to Minimize Road Damage , 1996 .

[5]  David J. Cole,et al.  Force Control of a Semi-Active Damper , 1995 .

[6]  Jan Swevers,et al.  A model-free control structure for the on-line tuning of the semi-active suspension of a passenger car , 2007 .

[7]  Zhong Yi-fang Investigation into the Time Domain Model and Numerical Simulation of Bilateral Track Excitation from Road Irregularities , 2004 .

[8]  G Chen,et al.  MR damper and its application for semi-active control of vehicle suspension system , 2002 .

[9]  James Lam,et al.  Semi-active H∞ control of vehicle suspension with magneto-rheological dampers , 2005 .

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

[11]  Georgios Tsampardoukas,et al.  Hybrid balance control of a magnetorheological truck suspension , 2008 .

[12]  Mauro Montiglio,et al.  Development of an Heavy Truck Semi-Active Suspension Control , 2004 .

[13]  Liping Chen,et al.  A fuzzy control strategy and optimization for four wheel steering system , 2007, 2007 IEEE International Conference on Vehicular Electronics and Safety.

[14]  Nurkan Yagiz,et al.  Backstepping control of a vehicle with active suspensions , 2008 .

[15]  Mohammad Biglarbegian,et al.  A novel neuro-fuzzy controller to enhance the performance of vehicle semi-active suspension systems , 2008 .

[16]  Carlo Novara,et al.  Semi-Active Suspension Control Using “Fast” Model-Predictive Techniques , 2006, IEEE Transactions on Control Systems Technology.

[17]  Sung-Ho Hwang,et al.  Vehicle Stability Enhancement of Four-Wheel-Drive Hybrid Electric Vehicle Using Rear Motor Control , 2008, IEEE Transactions on Vehicular Technology.

[18]  Shiuh-Jer Huang,et al.  A new model-free adaptive sliding controller for active suspension system , 2008, Int. J. Syst. Sci..

[19]  T D Gillespie,et al.  HEAVY TRUCK RIDE , 1985 .

[20]  J. D. Robson,et al.  The description of road surface roughness , 1973 .

[21]  David J. Cole,et al.  Performance of a semi-active damper for heavy vehicles , 2000 .

[22]  Richard J. Dorling Integrated control of road vehicle dynamics , 1996 .

[23]  Kyongsu Yi,et al.  A new adaptive sky-hook control of vehicle semi-active suspensions , 1999 .