Based on modelling and experimental validation of the hydropneumatic spring, a non-linear dynamic model is developed for active hydropneumatic suspensions of a special-purpose vehicle. In order to improve the system response to off-road terrain unevenness and vertical impact force, the non-linear system is transformed into a linear one by means of feedback linearization. Furthermore, a sliding mode control strategy is introduced for the purpose of raising the robustness of the system. The simulation results indicate that the present non-linear controller combining the feedback linearization with the linear control algorithm possesses high control accuracy and strong robustness, and the unique requirements for the special-purpose vehicle are therefore fairly well satisfied.
FelezJ.VeraC.‘Bond graph assisted models for hydro-pneumatic suspensions in crane vehicles.’Vehicle System Dynamics16 (1987): 313–332.
2.
Von GlasnerE. C.PovelR.SchutznerP.‘Introduction to advanced vehicle suspension design.’Heavy Vehicle Systems3 (1996): 422–437.
3.
ZhangM.WengJ.HuH.‘Theoretical and experimental study on a new hydropneumatic suspension.’J. Vibr. Measmt and Diagnosis19 (4) (1999): 327–331.
4.
CrollaD. A.AbdEl-Haleem A. M.‘Analysis and design of limited bandwidth active hydropneumatic vehicle suspension systems.’ SAE paper 2000-01-1631, 2000.
5.
PriyandokoG.MailahM.JamaluddinH.‘Vehicle active suspension system using skyhook adaptive neuro active force control.’Mech. Systems and Signal Processing23 (3) (2009): 855–868.
6.
GaoB.DarlingJ.TilleyD. G.WilliamsR. A.BeanA.DonahueJ.‘Control of a hydropneumatic active suspension based on a non-linear quarter-car model.’Proc. IMechE, Part I: J. Systems and Control Engineering220 (1) (2006): 15–31 DOI: 10.1243/095965105X77501.
7.
SchumannA.AndersonR.RonaldJ.‘Optimal control of an active anti roll suspension for an off-road utility vehicle using interconnected hydragas suspension units.’Vehicle System Dynamics37 (Suppl) (2003): 145–156.
8.
MoreauX.AltetO.OustaloupA.‘The CRONE suspension: management of the dilemma comfort-road holding.’Nonlinear Dynamics38 (4) (2004): 461–484.
9.
Tao Sun, Fan Yu, Zhendong Zhang, Xiao-ming Shen, ‘Uncertainty analysis for a hydro-pneumatic suspension system of heavy duty vehicles and H∞ controller design.’J. Vibration and Shock26 (9) (2007): 51–54.
10.
Feng Jinzhi, Zheng Songlin, Yu Fan, ‘Bandwidth-limited active suspension controller for an off-road vehicle based on co-simulation technology.’Frontiers of Mech. Engng in China3 (1) (2008): 111–117.
11.
ZhangJ.ChenL.XiG.‘System dynamic modelling and adaptive optimal control for automatic clutch engagement of vehicle.’Proc. IMechE, Part D: J. Automobile Engineering216 (12) (2002): 983–991 DOI: 10.1243/095440702762508236.
12.
Li Chen, Jianwu Zhang, ‘Feedback linearization control for electronically controllable clutch of vehicle.’Chin. J. Mech. Engng12 (4) (1999): 303–311.
13.
Dong-Sheng Cheng, Jian-wu Zhang, ‘Sliding mode control approach for electronically controllable clutch of AMT based on the feedback linearization.’J. Donghua Univ.20 (3) (2003): 88–93.
14.
Yinong Li, Ling Zheng, ‘Nonlinear control methods of automotive semi-active suspension based on the MR damper.’Chin. J. Mech. Engng41 (5) (2005): 31–37.
15.
Hongli Wang, Lei Shi, Wenge Liu, Jing Sun, ‘Active control for nonlinear vibration of automotive suspension.’J. Mech. Strength22 (3) (2000): 164–166.
16.
FialhoI.BalasG. J.‘Road adaptive active suspension design using linear parameter-varying gain-scheduling.’IEEE Trans. Control Systems Technol.10 (1) (2002): 43–54.
17.
YuF.CrollaD. A.‘Optimal self-tuning controller for an active suspension.’Vehicle System Dynamics29 (1) (1998): 51–65.
18.
WatanabeY.SharpR. S.‘Neural network learning control of automotive active suspension systems.’Int. J. Vehicle Des.21 (2) (1999): 124–147.
19.
Pan Zigang, ‘Differential geometric condition for feedback complete linearization of stochastic nonlinear system.’Automatica37 (1) (2001): 145–149.
