Optimal Vibration Control for Vehicle Active Suspension Discrete‐Time Systems with Actuator Time Delay

This study researches the vibration control approach for vehicle active suspension discrete-time systems with actuator time delay under road disturbances. First, the discrete-time models for the quarter vehicle active suspension system with actuator time delay are presented, and road disturbances are considered as the output of an exosystem. By introducing a discrete variable transformation, the discrete-time system with actuator time delay and the quadratic performance index are transformed into equivalent ones without the explicit appearance of time delays. Then, the problem of original vibration control with actuator time delay is transformed into the optimal vibration control for a non-delayed system with respect to the transformed performance index. Based on the maximum principle, the feedforward and feedback optimal vibration control law is obtained from Riccati and Stein equations. The existence and uniqueness of the optimal control law is proved. A reduced-order observer is constructed to solve the physically realizable problem of the feedforward compensator. Finally, the feasibility and effectiveness of the proposed approaches are validated by a numerical example.

[1]  Xian-Ming Tang,et al.  H∞ performance analysis for discrete‐time systems with additive time‐varying delays , 2011 .

[2]  Costas Papadimitriou,et al.  Design Optimization of Quarter-car Models with Passive and Semi-active Suspensions under Random Road Excitation , 2005 .

[3]  Francesco Maria Raimondi,et al.  Fuzzy motion control strategy for cooperation of multiple automated vehicles with passengers comfort , 2008, Autom..

[4]  E. Esmailzadeh Servovalve-Controlled Pneumatic Suspensions , 1979 .

[5]  Huijun Gao,et al.  Robust Sampled-Data $H_{\infty}$ Control for Vehicle Active Suspension Systems , 2010, IEEE Transactions on Control Systems Technology.

[6]  Nong Zhang,et al.  H∞ control of active vehicle suspensions with actuator time delay , 2007 .

[7]  Huijun Gao,et al.  Input-Delayed Control of Uncertain Seat Suspension Systems With Human-Body Model , 2010, IEEE Transactions on Control Systems Technology.

[8]  Jian-Xin Xu,et al.  An ILC scheme for a class of nonlinear continuous‐time systems with time‐iteration‐varying parameters subject to second‐order internal model , 2011 .

[9]  S. G. Joshi,et al.  OPTIMUM DESIGN OF A PASSIVE SUSPENSION SYSTEM OF A VEHICLE SUBJECTED TO ACTUAL RANDOM ROAD EXCITATIONS , 1999 .

[10]  N.F.J. Janse van Rensburg,et al.  Time delay in a semi-active damper: modelling the bypass valve , 2002 .

[11]  Nader Jalili,et al.  Optimum Active Vehicle Suspensions With Actuator Time Delay , 2001 .

[12]  Hong Chen,et al.  Disturbance attenuation control of active suspension with non-linear actuator dynamics , 2011 .

[13]  M. Shinozuka,et al.  Simulation of Stochastic Processes by Spectral Representation , 1991 .

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

[15]  Huijun Gao,et al.  Robust control synthesis for seat suspension systems with actuator saturation and time-varying input delay , 2010 .

[16]  Seung-Bok Choi,et al.  Human simulated intelligent control of vehicle suspension system with MR dampers , 2009 .

[17]  Qingling Zhang,et al.  New delay‐dependent robust stability of discrete singular systems with time‐varying delay , 2011 .

[18]  James Lam,et al.  Multi-objective control of vehicle active suspension systems via load-dependent controllers , 2006 .

[19]  Yahaya Md Sam,et al.  Modeling and control of the active suspension system using proportional integral sliding mode approach , 2008 .

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

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

[22]  M. F. Golnaraghi,et al.  Optimal design of passive linear suspension using genetic algorithm , 2004 .