journal article·2016-12

Vehicle height and leveling control of electronically controlled air suspension using mixed logical dynamical approach

XiaoQiang Sun, YingFeng Cai, ChaoChun Yuan, ShaoHua Wang, Long Chen

Publisher page

Abstract

Vehicle height and leveling control of electronically controlled air suspension (ECAS) still poses theoretical challenges for researchers that have not been adequately addressed in prior research. This paper investigates the design and verification of a new controller to adjust the vehicle height and to regulate the roll and pitch angles of the vehicle body (leveling control) during the height adjustment procedures. A nonlinear mechanism model of the vehicle height adjustment system is formulated to describe the dynamic behaviors of the system. By using mixed logical dynamical (MLD) approach, a novel control strategy is proposed to adjust the vehicle height by controlling the on-off statuses of the solenoid valves directly. On this basis, a correction algorithm is also designed to regulate the durations of the on-off statuses of the solenoid valves based on pulse width modulated (PWM) technology, thus the effective leveling control of the vehicle body can be guaranteed. Finally, simulations and vehicle tests results are presented to demonstrate the effectiveness and applicability of the proposed control methodology.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Hydraulic and Pneumatic Systems · Vibration Control and Rheological Fluids · Analytical Chemistry and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (27)

Show source-provided references
1. Gao J, Yang X J, Niu Z R, et al. Performance of suspension and full vehicle embedded in structure-based bushing. J Jiangsu Univ Nat Sci, 2015, 36: 398–405
2. Konieczny L. Damping characteristics of hydropneumatic suspension strut in function of car static load. J Vibroeng, 2015, 17: 74–81
3. Chai S, Guo M, Xu S H, et al. Finite element models for vehicle leaf spring suspensions. J Jiangsu Univ Nat Sci, 2015, 36: 16–22
4. Chen S A, Li X, Zhao L J, et al. Development of a control method for an electromagnetic semi-active suspension reclaiming energy with varying charge voltage in steps. Int J Auto Tech, 2015, 16: 765–77310.1007/s12239-015-0077-3 ↗
5. Masanori H, Seiichi M, Shuichi B, et al. Toyota electronic modulated air suspension system for the 1986 Soarer. IEEE Trans Ind Electron, 1988, 35: 193–20010.1109/41.192649 ↗
6. Jochen R, Dieter A. System dynamics of electrified vehicles: Some facts, thoughts, and challenges. Veh Syst Dyn, 2011, 49:1005–102010.1080/00423114.2011.582122 ↗
7. Song P Y, Li Y, Ma A L. An approximate analytical method of gas film pressure in non-parallel gap of spiral groove dry gas seal. J Drain Irrig Mach Eng. 2015, 33: 1049–1055
8. Kim H, Lee H. Fault-tolerant control algorithm for a four-corner closed-loop air suspension system. IEEE Trans Ind Electron, 2011, 58: 4866–487910.1109/TIE.2011.2123852 ↗
9. Liu H, Wang S L. Design of friction pairs of bottom pivot and analysis of their tribological properties in ship lock. J Drain Irrig Mach Eng, 2015, 33: 960–964
10. Kim H, Lee H. Height and leveling control of automotive air suspension system using sliding mode approach. IEEE Trans Veh Tech, 2011, 60: 2027–204110.1109/TVT.2011.2138730 ↗
11. Sun X Q, Chen L, Wang S H, et al. Vehicle height control of electronic air suspension system based on mixed logical dynamical modelling. Sci China Tech Sci, 2015, 58: 1894–190410.1007/s11431-015-5861-9 ↗
12. Xu X, Chen Z Z, Li Z X, et al. Investigation on modeling and control of body height adjustment for bus with electrically controlled air suspension. Auto Tech, 2009, 11: 42–46
13. Du H P, Zhang N. Fuzzy control for nonlinear uncertain electrohydraulic active suspensions with input constraint. IEEE Trans Fuzzy Syst, 2009, 17:343–35610.1109/TFUZZ.2008.2011814 ↗
14. Montazeri G, Kavianipour O. Investigation of the active electromagnetic suspension system considering hybrid control strategy. Proc Inst Mech Eng Part C-J Mech Eng Sci, 2014, 228: 1658–166910.1177/0954406213511430 ↗
15. Liu L, Zhou Y Q, Mi Y Z, et al. Performance parameter opti-mization of excavator cab shock absorbers based on Kriging method. J Jiangsu Univ Nat Sci, 2015, 36: 497–503
16. Du H P, Li W H, Zhang N. Integrated seat and suspension control for a quarter car with driver model. IEEE Trans Veh Tech, 2012, 61: 3893–390810.1109/TVT.2012.2212472 ↗
17. Chen M Q, Hu Y L, Li C Y, et al. Performance benefits of using inerter in semiactive suspensions. IEEE Trans Control Sys Tech, 2015, 23: 1571–157710.1109/TCST.2014.2364954 ↗
18. Li H F, He M H, Pan Z B. Numerical simulation of siphon formation in siphon discharge passage. J Drain Irrig Mach Eng, 2015, 33: 932–939
19. Lee S J. Development and analysis of an air spring model. Int J Auto Tech, 2010, 11: 471–47910.1007/s12239-010-0058-5 ↗
20. Sathishkumar P, Jancirani J, Dennie J. Reduction of axis acceleration of quarter car suspension using pneumatic actuator and active force control technique. J Vibroeng, 2014, 16: 1416–1423
21. Hou Y L, Wang J W. Influences of geometric parameters on flow characteristics of rectangular microchannels. J Drain Irrig Mach Eng, 2015, 33: 417–421
22. Barna S, Huba N. Dynamic hybrid model of an electro-pneumatic clutch system. Mechatronics, 2013, 23: 21–3610.1016/j.mechatronics.2012.10.006 ↗
23. Zhang L P, Li L, Qi B N, et al. Parameters optimum matching of pure electric vehicle dual-mode coupling drive system. Sci China Tech Sci, 2014, 57: 2265–227710.1007/s11431-014-5651-9 ↗
24. Bemporad A, Morari M. Control of systems integrating logic, dynamics, and constraints. Automatica, 1999, 35: 407–42710.1016/S0005-1098(98)00178-2 ↗
25. Yuan X J, Guo K H. Modelling and analysis for a pilot relief valve using CFD method and deformation theory of thin plates. Sci China Tech Sci, 2015, 58: 979–99810.1007/s11431-015-5822-3 ↗
26. Eduardo P, Aldo C. Hybrid model predictive control for flotation plants. Miner Eng, 2015, 70: 26–3510.1016/j.mineng.2014.08.013 ↗
27. Fabio D T, Alberto B. HYSDEL—A tool for generating computational hybrid models for analysis and synthesis problems. IEEE Trans Control Sys Tech, 2004, 12: 235–24910.1109/TCST.2004.824309 ↗