Nonlinear control of vehicle active suspensions

In this paper an improved nonlinear control law is applied to active suspension systems which are assumed to travel along a rugged road. The proposed control law needs only partially-known information instead of full-known detailed information about road conditions. The goal of this research is to reduce controller’s sensitivity to road disturbance and finally reduce forces transmitted by vehicle body to passengers resulting from a rugged road. The control performance is simulated to illustrate the validity of this design.

[1]  Jimoh Olarewaju Pedro,et al.  Neural network based feedback linearization control of a servo-hydraulic vehicle suspension system , 2011, Int. J. Appl. Math. Comput. Sci..

[2]  Rajesh Rajamani,et al.  Vehicle dynamics and control , 2005 .

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

[4]  Chengdong Wu,et al.  Design of Intelligent Vehicles Control System based on Photoelectric Detector , 2011 .

[5]  Eduardo F. Camacho,et al.  Min-max predictive control of a heat exchanger using a neural network solver , 2004, IEEE Transactions on Control Systems Technology.

[6]  Avesta Goodarzi,et al.  Design and analysis of an intelligent controller for active geometry suspension systems , 2011 .

[7]  Wenyong Xiao.  Multi-factor predication of diesel engine by using artificial neural networks , 2010, J. Digit. Content Technol. its Appl..

[8]  Andrew G. Alleyne,et al.  Nonlinear adaptive control of active suspensions , 1995, IEEE Trans. Control. Syst. Technol..

[9]  Marios M. Polycarpou,et al.  A Robust Adaptive Nonlinear Control Design , 1993, 1993 American Control Conference.

[10]  Hyo-Jun Kim,et al.  Robust roll motion control of a vehicle using integrated control strategy , 2011 .

[11]  D. Hrovat,et al.  Optimal active suspension structures for quarter-car vehicle models , 1990, Autom..

[12]  Ka C. Cheok,et al.  Model reference adaptive control for vehicle active suspension systems , 1991 .

[13]  Li Chen,et al.  Development and control of a prototype pneumatic active suspension system , 2000, IEEE Trans. Educ..

[14]  Yong Gan,et al.  Motion Controller for Autonomous Underwater Vehicle Based on Parallel Neural Network , 2010, J. Digit. Content Technol. its Appl..