Semi-active sliding mode control of vehicle suspension with magneto-rheological damper

The vehicle semi-active suspension with magneto-rheological damper(MRD) has been a hot topic since this decade, in which the robust control synthesis considering load variation is a challenging task. In this paper, a new semi-active controller based upon the inverse model and sliding mode control (SMC) strategies is proposed for the quarter-vehicle suspension with the magneto-rheological (MR) damper, wherein an ideal skyhook suspension is employed as the control reference model and the vehicle sprung mass is considered as an uncertain parameter. According to the asymptotical stability of SMC, the dynamic errors between the plant and reference systems are used to derive the control damping force acquired by the MR quarter-vehicle suspension system. The proposed modified Bouc-wen hysteretic force-velocity (F-v) model and its inverse model of MR damper, as well as the proposed continuous modulation (CM) filtering algorithm without phase shift are employed to convert the control damping force into the direct drive current of the MR damper. Moreover, the proposed semi-active sliding mode controller (SSMC)-based MR quarter-vehicle suspension is systematically evaluated through comparing the time and frequency domain responses of the sprung and unsprung mass displacement accelerations, suspension travel and the tire dynamic force with those of the passive quarter-vehicle suspension, under three kinds of varied amplitude harmonic, rounded pulse and real-road measured random excitations. The evaluation results illustrate that the proposed SSMC can greatly suppress the vehicle suspension vibration due to uncertainty of the load, and thus improve the ride comfort and handling safety. The study establishes a solid theoretical foundation as the universal control scheme for the adaptive semi-active control of the MR full-vehicle suspension decoupled into four MR quarter-vehicle sub-suspension systems.

[1]  Wang,et al.  SEMI-ACTIVE CONTROL OF VEHICLE SUSPENSION WITH MAGNETO-RHEOLOGICAL DAMPERS:PART III—EXPERIMENTAL VALIDATION , 2008 .

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

[3]  Enrong Wang,et al.  Skyhook-based semi-active control of full-vehicle suspension with magneto-rheological dampers , 2013 .

[4]  Min-Kyu Park,et al.  Performance evaluation of a quarter-vehicle MR suspension system with different tire pressure , 2011 .

[5]  Young-Pil Park,et al.  H8 Control Performance of a Full-Vehicle Suspension Featuring Magnetorheological Dampers , 2002 .

[6]  Keum-Shik Hong,et al.  Modified Skyhook Control of Semi-Active Suspensions: A New Model, Gain Scheduling, and Hardware-in-the-Loop Tuning , 2002 .

[7]  Shirley J. Dyke,et al.  PHENOMENOLOGICAL MODEL FOR MAGNETORHEOLOGICAL DAMPERS , 1997 .

[8]  Wang Enrong Comparison on Hysteresis Models of Controllable Magneto-rheological Damper , 2009 .

[9]  Yaxin Liu Automated Dispensing System for Biologic Viscous Micro-drop , 2009 .

[10]  Wang,et al.  SEMI-ACTIVE CONTROL OF VEHICLE SUSPENSION WITH MAGNETO- RHEOLOGICAL DAMPERS: PART I ——CONTROLLER SYNTHESIS AND EVALUATION , 2008 .

[11]  Kevin A. Snook,et al.  縦方向電界場中で曲げたPIN-PMN-PT単結晶の強度 , 2011 .

[12]  Wei-Hsin Liao,et al.  Magnetorheological fluid dampers: a review of parametric modelling , 2011 .

[13]  Donald Margolis A procedure for comparing passive, active, and semi-active approaches to vibration isolation , 1983 .

[14]  Zhao Yanshui Time Lag of Magnetorheological Damper Semi-active Suspensions , 2009 .

[15]  Rui Li CONTROL OF AUTOMOTIVE SUSPENSIONS VIBRATION VIA MAGNETO RHEOLOGICAL DAMPER , 2005 .

[16]  L. Guvenc,et al.  Semiactive Suspension Control of a Light Commercial Vehicle , 2008, IEEE/ASME Transactions on Mechatronics.

[17]  Maofei Zhu Time-delay Variable Structure Control for Semi-active Suspension Based on Magneto-rheological Damper , 2010 .

[18]  Qiu Wei,et al.  The sliding model-following control for semi-active MR-vehicle suspension , 2010, 2010 International Conference on Networking, Sensing and Control (ICNSC).

[19]  Zhang Zhen-jun Sliding Mode Control of Vehicle Semi-active Suspension with Magnetorheological Dampers Having Polynomial Model , 2009 .

[20]  J. K. Hedrick,et al.  A model following sliding mode controller for semi-active suspension systems with MR dampers , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).