Vehicle Height Control of Automotive Air Suspension System Using Fuzzy Neural Network Approach

Hong Yan Shan

doi:10.4028/www.scientific.net/AMM.727-728.781

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 727-728Vehicle Height Control of Automotive Air...

Vehicle Height Control of Automotive Air Suspension System Using Fuzzy Neural Network Approach

Abstract:

Vehicle height adjustment is one of the main features of automotive air suspension system, which plays a significant role to improve driving stability and fuel economy of the vehicle. However, direct open-loop control can’t achieve the vehicle height control with high precision for undesirable phenomenon of over-charge and over-discharge of the air spring. Therefore, a fuzzy neural network approach was proposed in this paper for designing the vehicle height controller. According to the operational principle of the vehicle height adjustment process, the system mathematical model was established based on vehicle system dynamics and variable mass charge/discharge gas system thermodynamic theory. Then, the fuzzy neural network control laws were designed based on the nonlinear model to maximize the control accuracy. Finally, the effectiveness and applicability of the proposed control algorithm are verified by simulation results.

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Periodical:

Applied Mechanics and Materials (Volumes 727-728)

Pages:

781-784

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.727-728.781

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Online since:

January 2015

Authors:

Hong Yan Shan

Keywords:

Automotive Air Suspension System, Fuzzy Neural Network Approach, Mathematical Models, Simulation, Vehicle Height Control

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References

[1] J. Youn, I. Park, M. Sunwoo, Heuristic resource allocation and scheduling method for distributed automotive control systems, Int. J. Auto. Tech. 14 (2000) 611-624.

DOI: 10.1007/s12239-013-0066-3

Google Scholar

[2] X. Xu, Z.X. Li, S.J. Qin, et al, Ride height control of trucks with electrically controlled air suspen -sion based on PID/PWM algorithm, App. Mech. Mat. 39 (2011) 498-503.

DOI: 10.4028/www.scientific.net/amm.39.498

Google Scholar

[3] H. Kim, H. Lee, Fault-tolerant control algorithm for a four-corner closed-loop air suspension sy -stem, IEEE. Trans. Indus. Elec, 58 (2011) 4866- 4879.

DOI: 10.1109/tie.2011.2123852

Google Scholar

[4] H. Kim, H. Lee, Height and leveling control of automotive air suspension system using sliding mode approach, IEEE. Trans. Veh. Tech, 60 (2011) 2027-(2041).

DOI: 10.1109/tvt.2011.2138730

Google Scholar

[5] E.B. He, Q.G. Du, Y.Y. Feng, Fuzzy-PID Control of body height adjustment for vehicles with electrically controlled air suspension, Mach. Tool. Hydrau, 40 (2012) 86-88.

Google Scholar

[6] X.Q. Cao, J.G. Zhu, R.Y. Tang. Vector controlled permanent magnet synchronous motor drive with adaptive fuzzy neural network controller, Proc. CSEE, 26 (2006) 137-141.

DOI: 10.1007/11539902_146

Google Scholar

[7] X. Xu, L. Chen, L.Q. Sun, et al, Dynamic ride height adjusting controller of ECAS vehicle with random road disturbances, Mathe. Prob. Eng, 2013 (2013) 1-9.

DOI: 10.1155/2013/439515

Google Scholar