Chinese Journal of Mechanical Engineering >

2018 , Vol. 31 >Issue 2: 25 - 25

DOI: https://doi.org/10.1186/s10033-018-0223-8

Advanced Transportation Equipment

Fuzzy Sliding Mode Control for the Vehicle Height and Leveling Adjustment System of an Electronic Air Suspension

  • Xiao-Qiang Sun ,
  • Ying-Feng Cai ,
  • Chao-Chun Yuan ,
  • Shao-Hua Wang ,
  • Long Chen
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  • 1. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China;
    2. School of Automotive and Trafc Engineering, Jiangsu University, Zhenjiang 212013, China

Received date: 2016-11-13

  Online published: 2019-07-23

Supported by

Supported by National Natural Science Foundation of China (Grant Nos. 51375212, 61601203), Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions of China, Key Research and Development Program of Jiangsu Province (BE2016149), and Jiangsu Provincial Natural Science Foundation of China (BK20140555)

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Abstract

The accurate control for the vehicle height and leveling adjustment system of an electronic air suspension (EAS) still is a challenging problem that has not been effectively solved in prior researches. This paper proposes a new adaptive controller to control the vehicle height and to adjust the roll and pitch angles of the vehicle body (leveling control) during the vehicle height adjustment procedures by an EAS system. A nonlinear mechanism model of the full-car vehicle height adjustment system is established to reflect the system dynamic behaviors and to derive the system optimal control law. To deal with the nonlinear characters in the vehicle height and leveling adjustment processes, the nonlinear system model is globally linearized through the state feedback method. On this basis, a fuzzy sliding mode controller (FSMC) is designed to improve the control accuracy of the vehicle height adjustment and to reduce the peak values of the roll and pitch angles of the vehicle body. To verify the effectiveness of the proposed control method more accurately, the full-car EAS system model programmed using AMESim is also given. Then, the co-simulation study of the FSMC performance can be conducted. Finally, actual vehicle tests are performed with a city bus, and the test results illustrate that the vehicle height adjustment performance is effectively guaranteed by the FSMC, and the peak values of the roll and pitch angles of the vehicle body during the vehicle height adjustment procedures are also reduced significantly. This research proposes an effective control methodology for the vehicle height and leveling adjustment system of an EAS, which provides a favorable control performance for the system.

Key words： Electronic air suspension; Height adjustment; Leveling control; Fuzzy sliding mode control; Vehicle tests

Cite this article

Xiao-Qiang Sun , Ying-Feng Cai , Chao-Chun Yuan , Shao-Hua Wang , Long Chen . Fuzzy Sliding Mode Control for the Vehicle Height and Leveling Adjustment System of an Electronic Air Suspension[J]. Chinese Journal of Mechanical Engineering, 2018 , 31(2) : 25 -25 . DOI: 10.1186/s10033-018-0223-8

References

[1] Xiao-Qiang Sun, Ying-Feng Cai, Shao-Hua Wang, et al. A hybrid approach to modeling and control of vehicle height for electronically controlled air suspension. Chinese Journal of Mechanical Engineering, 2016, 29(1):152-162.
[2] Zhi-Hong Yin, A Khajepour, Dong-Pu Cao, et al. A new pneumatic suspension system with independent stiffness and ride height tuning capabilities. Vehicle System Dynamics, 2012, 50(12):1735-1746.
[3] W K Anakwa, D R Thomas, S C Jones, et al. Development and control of a prototype pneumatic active suspension system. IEEE Transactions on Education, 2002, 45(1):43-49.
[4] Ming-Ming Dong, Zhen-Xing Luo. Statistical linearization on 2 DOFs hydropneumatic suspension with asymmetric non-linear stiffness. Chinese Journal of Mechanical Engineering, 2015, 28(3):504-510.
[5] Jin Gao, Xiu-Jian Yang, Zi-Ru Niu, et al. Performance of suspension and full vehicle embedded in structure-based bushing. Journal of Jiangsu University:Natural Science Editions, 2015, 36(4):398-405. (in Chinese)
[6] Zhi-Cheng Wu, Cong Chen. Handling stability of three-axle vehicle with dual-front-axle-steering system. Journal of Jiangsu University:Natural Science Editions, 2016, 37(6):640-644. (in Chinese)
[7] A Nieto, A Morales, J Trapero, et al. An adaptive pneumatic suspension based on the estimation of the excitation frequency. Journal of Sound and Vibration, 2011, 330(9):1891-1903.
[8] I Maciejewski. Control system design of active seat suspensions. Journal of Sound and Vibration, 2012, 331(6):1291-1309.
[9] C Lee, V Goverdovskiy. A multi-stage high-speed railroad vibration isolation system with "negative"? stiffness. Journal of Sound and Vibration, 2012, 331(4):914-921.
[10] I Maciejewski, T Krzyzynski, L Meyer. Control system synthesis of seat suspensions used for protection of working machine operators. Vehicle System Dynamics, 2014, 52(11):1355-1371.
[11] Xiao-Qiang Sun, Ying-Feng Cai, Long Chen, et al. Vehicle height and posture control of the electronic air suspension system using the hybrid system approach. Vehicle System Dynamics, 2016, 54(3):328-352.
[12] Jun Zhang, Shuai Lei, Si-Sheng Duan. Simulation and experimental research on air suspension couch height control. Journal of Wuhan University of Technology, 2012, 34(4):123-126. (in Chinese)
[13] H Kim, H Lee. Height and leveling control of automotive air suspension system using sliding mode approach. IEEE Transactions on Vehicular Technology, 2011, 60(5):2027-2041.
[14] Xing Xu, Kong-Kang Zhou, Nan-Nan Zou, et al. Hierarchical control of ride height system for electronically controlled air suspension based on variable structure and fuzzy control theory. Chinese Journal of Mechanical Engineering, 2015, 28(5):945-953.
[15] Jiong-Kang Lin, Ka-Wai Cheng, Zhu-Zhang, et al. Adaptive sliding mode technique-based electromagnetic suspension system with linear switched reluctance actuator. IET Electric Power Applications, 2015, 9(1):50-59.
[16] E Ozkop, I H Altas, H I Okumus, et al. A fuzzy logic sliding mode controlled electronic differential for a direct wheel drive EV. International Journal of Electronics, 2015, 102(11):1919-1942.
[17] Y Toshio. Design of an adaptive fuzzy sliding mode control for uncertain discrete-time nonlinear systems based on noisy measurements. International Journal of Systems Science, 2016, 47(3):617-630.
[18] Hai-Long Zhang, En-Rong Wang, Ning Zhang, et al. Semi-active sliding mode control of vehicle suspension with magneto-rheological damper. Chinese Journal of Mechanical Engineering, 2015, 28(1):63-75.
[19] Ting-Ting Duan, Chun-Yan Wang, Wan-Zhong Zhao, et al. Sliding mode-PID control of driving system for motorized wheels vehicle. Journal of Jiangsu University:Natural Science Editions, 2015, 36(3):260-264. (in Chinese)
[20] Li-Ying Hao, J H Park, Dan Ye. Fuzzy logic systems-based integral sliding mode fault-tolerant control for a class of uncertain non-linear systems. IET Control Theory and Applications, 2016, 10(3):300-311.
[21] Jun-Tao Fei, Ming-Yuan Xin. Adaptive fuzzy backstepping sliding mode control for MEMS gyroscope. Journal of Intelligent and Fuzzy Systems, 2014, 27(2):817-826.
[22] Xiao-Qiang Sun, Long Chen, Shao-Hua Wang, et al. Vehicle height control of electronic air suspension system based on mixed logical dynamical modelling. Science China Technological Sciences, 2015, 58(11):1804-1904.
[23] Xing Xu, Long Chen, Li-Qin Sun, et al. Dynamic ride height adjusting controller of ECAS vehicle with random road disturbances. Mathematical Problems in Engineering, 2013, 439515.
[24] H Sean, Q L Minh, T Mahdi, et al. Improved tracking and switching performance of an electro-pneumatic positioning system. Mechatronics, 2012, 22(1):1-12.
[25] Xue-Liang Ju, P Wu, P R Weckler, et al. Newly-simplified method for hydraulic design of micro-irrigation laterals based on emission uniformity. Journal of Drainage and Irrigation Machinery Engineering, 2015, 33(8):691-700. (in Chinese)
[26] S J Lee. Development and analysis of an air spring model. International Journal of Automotive Technology, 2010, 11(4):471-479.
[27] Shi-Hao Yuan. Partial port throttle performance based on standard orthogonal polynomial fitting. Journal of Drainage and Irrigation Machinery Engineering, 2015, 33(12):1056-1061. (in Chinese)
[28] Hong-Lin Xue, Chi Zhang, Yan-Jun Li, et al. Analysis of transient flow in vertical mixed-flow pumping system during pump stopping period by closing valve in two-phase mode. Journal of Drainage and Irrigation Machinery Engineering, 2015, 33(11):953-959. (in Chinese)
[29] Hai-Ping Du, Nong Zhang. Fuzzy control for nonlinear uncertain electrohydraulic active suspensions with input constraint. IEEE Transactions on Fuzzy System, 2009, 17(2):343-356.
[30] Lei Liu, Yi-Qi Zhou, Yong-Zhen Mi, et al. Performance parameter optimization of excavator cab shock absorbers based on Kriging method. Journal of Jiangsu University:Natural Science Editions, 2015, 36(5):497-503. (in Chinese)
[31] S S Kim, R J Michael, A Abdou, et al. A fixed point approach to stability of cubic lie derivatives in banach algebras. Journal of Computational Analysis and Applications, 2015, 19(2):378-388.
[32] D H Lim, W H Sohn. Lie derivative of shape operator on real hypersurfaces in a complex space form. Far East Journal of Mathematical Sciences, 2015, 98(7):883-895.
[33] A Girin, F Plestan, X Brun, et al. High-order sliding-mode controllers of an electropneumatic actuator:application to an aeronautic benchmark. IEEE Transactions on Control Systems Technology, 2009, 17(3):633-645.
[34] K Xing, J Huang, Y Wang, et al. Tracking control of pneumatic artificial muscle actuators based on sliding mode and non-linear disturbance observer. IET Control Theory and Applications, 2010, 4(10):2058-2070.
[35] Hai-Fei Wang, Yan Kong, Fei-Ning Xu, et al. Hydraulic brake energy recovery technology of sanitation construction. Journal of Jiangsu University:Natural Science Editions, 2015, 36(6):621-626. (in Chinese)
[36] U Vadim. Discussion aspects of high-order sliding mode control. IEEE Transactions on Automatic Control, 2016, 61(3):829-833.
[37] M P Adria, V I Enric, C P Angel, et al. Interleaved digital power factor correction based on the sliding-mode approach. IEEE Transactions on Power Electronics, 2016, 31(6):4641-4653.
[38] Peng-Yun Song, Ying Li, Ai-Lin Ma. An approximate analytical method of gas film pressure in non-parallel gap of spiral groove dry gas seal. Journal of Drainage and Irrigation Machinery Engineering, 2015, 33(12):1049-1055. (in Chinese)
[39] G B Koo, J B Park, Y H Joo. Intelligent digital redesign for non-linear systems:observer-based sampled-data fuzzy control approach. IET Control Theory and Applications, 2016, 10(1):1-9.
[40] Sheng-Li Wei, Hong-Kun Lu, Xian-Yin Leng, et al. Numerical simulation of impinging convexity on partition combustion system performance of diesel engines. Journal of Jiangsu University:Natural Science Editions, 2015, 36(5):509-515. (in Chinese)
[41] Zhi-Cheng Wu, Si-Zhong Chen, Lin Yang, et al. Model of road roughness in time domain based on rational function. Transactions of Beijing Institute of Technology, 2009, 29(9):795-798. (in Chinese)
[42] Zhong-Xing Li, Jian-Yu Huang, Ya-Wei Liu, et al. Modeling and simulation on white noise of road roughness in time domain. Journal of Jiangsu University:Natural Science Editions, 2016, 37(5):503-506. (in Chinese)
[43] J J Rath, K C Veluvolu, M Defoort. Adaptive super-twisting observer for estimation of random road excitation profile in automotive suspension systems. Scientific World Journal, 2014, 2014:1-8.
[44] X Q Sun, L Chen, S H Wang, et al. Performance investigation of vehicle suspension system with nonlinear ball-screw inerter. International Journal of Automotive Technology, 2016, 17(3):399-408.
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