Skip to main content
SpringerLink
Log in

Vehicle height control of electronic air suspension system based on mixed logical dynamical modelling

  • Article
  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

Due to the coexistence and coupling of continuous variables and discrete events, the vehicle height adjustment process of electronic air suspension system can be regarded as a typical hybrid system. Therefore, the hybrid system theory was applied to design a novel vehicle height control strategy in this paper. A nonlinear mechanism model of the vehicle height adjustment system was established based on vehicle system dynamics and thermodynamic theory for variable-mass gas charge/discharge system. In order to model both the continuous/discrete dynamics of vehicle height adjustment process and the on-off statuses switching of solenoid valves, the framework of mixed logical dynamical (MLD) modelling was used. On the basis of the vehicle height adjustment control strategy, the MLD model of the adjustment process was built by introducing auxiliary logical variables and auxiliary continuous variables. Then, the co-simulation of the nonlinear mechanism model and the MLD model was conducted based on the compiling of HYSDEL. The simulation and experimental results show that the proposed control strategy can not only adjust the vehicle height effectively, but also achieve the on-off statuses direct control of solenoid valves.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Chen Y K, He J, King M, et al. Effect of driving conditions and suspension parameters on dynamic load-sharing of longitudinalconnected air suspensions. Sci China Tech Sci, 2013, 56: 666–676

    Article  Google Scholar 

  2. Le T D, Kyoung K A. Active pneumatic vibration isolation system using negative stiffness structures for a vehicle seat. J Sound Vib, 2014, 333: 1245–1268

    Article  Google Scholar 

  3. Huang J M, Zhou K K, Xu X, et al. Nonlinear model on leveling procedure of electronically controlled air suspension (in Chinese). J Mech Eng, 2009, 45: 278–283

    Article  Google Scholar 

  4. Masanori H, Seiichi M, Shuichi B, et al. Toyota electronic modulated air suspension system for the 1986 Soarer. IEEE T Ind Electron, 1988, 35: 193–200

    Article  Google Scholar 

  5. Hyunsup K, Hyeongcheo L. Fault-tolerant control algorithm for a four- corner closed-loop air suspension system. IEEE T Ind Electron, 2011, 58: 4866–4879

    Article  Google Scholar 

  6. 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 (in Chinese). Aut Tech, 2009, 11: 42–46

    Google Scholar 

  7. Xu X, Chen Z Z, Quan L, et al. Real-time tracking of ride height for bus with electrically controlled air suspension (in Chinese). J Mech Eng, 2011, 47: 136–141

    Article  Google Scholar 

  8. Hyunsup K, Hyeongcheo L. Height and leveling control of automotive air suspension system using sliding mode approach. IEEE T Veh Technol, 2011, 60: 2027–2041

    Article  Google Scholar 

  9. Xu X, Chen L, Sun L Q, et al. Dynamic ride height adjusting controller of ECAS vehicle with random road disturbances. Math Probl Eng, 2013, 2013: 1–9

    Google Scholar 

  10. Zhang J, Lei S, Duan S S. Simulation and experimental research on air suspension couch height control (in Chinese). J Wuhan U Tech, 2012, 34: 123–126

    Google Scholar 

  11. Olsen S G, Bone G M. Model-based control of three degrees of freedom robotic bulldozing. J Dyn Syst-T ASME, 2014, 136: 1–5

    Google Scholar 

  12. Olsen S G, Bone G M. Development of a hybrid dynamic model and experimental identification of robotic bulldozing. J Dyn Syst-T ASME, 2013, 135: 1–10

    Google Scholar 

  13. Wei S M, Uthaichana K, Zefran M, et al. Hybrid model predictive control for the stabilization of wheeled mobile robots subject to wheel slippage. IEEE T Contr Syst T, 2013, 21: 2181–2193

    Article  Google Scholar 

  14. Hodgson S, Le M Q, Tavakoli M, et al. Improved tracking and switching performance of an electro-pneumatic positioning system. Mechatronics, 2012, 22: 1–12

    Article  Google Scholar 

  15. Zhao L F, Yu X M, Qian D C, et al. The effects of EGR and ignition timing on emissions of GDI engine. Sci China Tech Sci, 2013, 56: 3144–3150

    Article  Google Scholar 

  16. Fang Y D, Li D F, FAN Z P, et al. Study on pneumatic-fuel hybrid system based on waste heat recovery from cooling water of internal combustion engine. Sci China Tech Sci, 2013, 56: 3070–3080

    Article  Google Scholar 

  17. Dou H, Chen L, Wang S H, et al. Research on vehicle height adjustment control of electronically controlled closed loop air suspension (in Chinese). Mach Des Manuf, 2014, 9: 171–174

    Google Scholar 

  18. Yin Z H, Khajepour A, Cao D P, et al. A new pneumatic suspension system with independent stiffness and ride height tuning capabilities. Vehicle Syst Dyn, 2012, 50:1735–1746

    Article  Google Scholar 

  19. Zhao W Z, Li Y J, Wang C Y. Robust control of hand wheel torque for active front steering system. Sci China Tech Sci, 2015, 58: 107–116

    Article  Google Scholar 

  20. 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: 2265–2277

    Article  Google Scholar 

  21. Ruan X G, Wu X. The skinner automaton: A psychological model formalizing the theory of operant conditioning. Sci China Tech Sci, 2013, 56: 2745–2761

    Article  Google Scholar 

  22. Bemporad A, Morari M. Control of systems integrating logic, dynamics, and constraints. Automatica, 1999, 35: 407–427

    Article  MathSciNet  MATH  Google Scholar 

  23. Borrelli F, Bemporad A, Fodor M, et al. An MPC/Hybrid system approach to traction control. IEEE T Contr Sys T, 2006, 14: 541–552

    Article  Google Scholar 

  24. Torrisi F D, Bempoard A. HYSDEL—A tool for generating computational hybrid models for analysis and synthesis problems. IEEE T Contr Sys T, 2004, 12: 235–249

    Article  Google Scholar 

  25. Dong L X, Dou L H, Chen J, et al. Hybrid model predictive control for speed control of permanent magnet synchronous motor with saturation. J Con Theor Appl, 2011, 9: 251–255

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, 212013, China

    XiaoQiang Sun & ShaoHua Wang

  2. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, 212013, China

    Long Chen & Xing Xu

Authors
  1. XiaoQiang Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Long Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. ShaoHua Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xing Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Long Chen.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sun, X., Chen, L., Wang, S. et al. Vehicle height control of electronic air suspension system based on mixed logical dynamical modelling. Sci. China Technol. Sci. 58, 1894–1904 (2015). https://doi.org/10.1007/s11431-015-5861-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-015-5861-9

Keywords

Search

Navigation