Characterization of motorcycle suspension systems: Comfort and handling performance evaluation

In this paper, measurement set-up and data analysis for the characterization of two-wheel vehicles suspension systems with regard to comfort and road holding is proposed. The main aim is the definition of a method for the experimental quantification of the suspension system performance. An application of the method to the verification of both comfort and safety assured by a control strategy for semi active suspensions is reported.

[1]  Charles Poussot-Vassal,et al.  A methodology for optimal semi-active suspension systems performance evaluation , 2010, 49th IEEE Conference on Decision and Control (CDC).

[2]  Vincenzo Paciello,et al.  A new approach to magnetorheological damping control , 2010, 2010 IEEE Instrumentation & Measurement Technology Conference Proceedings.

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

[4]  C. Liguori,et al.  Detection of low frequency components in real-time , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[5]  O. Sename,et al.  Survey and performance evaluation on some automotive semi-active suspension control methods: A comparative study on a single-corner model , 2012, Annu. Rev. Control..

[6]  Tudor Sireteanu,et al.  Semi-active Suspension Control , 2008 .

[7]  Honghai Liu,et al.  Robust quantised control for active suspension systems , 2011 .

[8]  F. Cheli,et al.  Objectification of the subjective riding comfort perception of motorcycles: Experimental analysis and international standards procedures , 2011, 2011 19th Mediterranean Conference on Control & Automation (MED).

[9]  Vincenzo Paciello,et al.  Magnetorheological Dampers: A New Approach of Characterization , 2011, IEEE Transactions on Instrumentation and Measurement.

[10]  Vincenzo Paciello,et al.  Real-time detection of resonant frequency in semi-active suspension systems , 2011, 2011 IEEE International Instrumentation and Measurement Technology Conference.

[11]  Jia-ling Yao,et al.  Semi-active Suspension System Design for Quarter-car Model using Model Reference Sliding Mode Control , 2006, 2006 IEEE International Conference on Vehicular Electronics and Safety.

[12]  Alberto Doria,et al.  Identification and Significance of the First Structural Modes of Vibration of Two Wheeled Vehicles , 2010 .

[13]  Qingmei Yang,et al.  Compare and analysis of passive and active suspensions under random road excitation , 2009, 2009 IEEE International Conference on Automation and Logistics.

[14]  Cristiano Spelta,et al.  A Comfort Oriented Control Strategy for Semi-Active Suspensions Based on Half Car Model , 2010 .

[15]  Ying Yang,et al.  Modeling and Simulation of Motorcycle Ride Comfort Based on Bump Road , 2010 .

[16]  Roberto Roncella,et al.  Electronic Control of a Motorcycle Suspension for Preload Self-Adjustment , 2008, IEEE Transactions on Industrial Electronics.

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

[18]  Jianqiang Yi,et al.  Neural Network Control for a Semi-Active Vehicle Suspension with a Magnetorheological Damper , 2004 .

[19]  You Qun Zhao,et al.  Fuzzy Control of Vehicle Suspension System , 2011 .