Modeling and test on height adjustment system of electrically-controlled air suspension for agricultural vehicles
Keywords:
agricultural transport vehicle, electric control, air suspension, height adjustment system, vehicle body height, single neuron adaptive PIDAbstract
To reduce the damages of pavement, vehicle components and agricultural product during transportation, an electric control air suspension height adjustment system of agricultural transport vehicle was studied by means of simulation and bench test. For the oscillation phenomenon of vehicle height in driving process, the mathematical model of the vehicle height adjustment system was developed, and the controller of vehicle height based on single neuron adaptive PID control algorithm was designed. The control model was simulated via Matlab/Simulink, and bench test was conducted. Results show that the method is feasible and effective to solve the agricultural vehicle body height unstable phenomenon in the process of switching. Compared with other PID algorithms, the single neuron adaptive PID control in agricultural transport vehicle has shorter response time, faster response speed and more stable switching state. The stability of the designed vehicle height adjustment system and the ride comfort of agricultural transport vehicle were improved. Keywords: agricultural transport vehicle, electric control, air suspension, height adjustment system, vehicle body height, single neuron adaptive PID DOI: 10.3965/j.ijabe.20160902.1852 Citation: Chen Y X, Chen L, Wang R C, Xu X, Shen Y J, Liu Y L. Modeling and test on height adjustment system of electrically-controlled air suspension for agricultural vehicles. Int J Agric & Biol Eng, 2016; 9(2): 40-47.References
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[2] Wang R C, Zhang X L, Chen L, Zhu X. Integrated control system of vehicle body height and adjustable damping. Transactions of the CSAE, 2012; 28(11): 75–79. (in Chinese with English abstract)
[3] Campbell D C, Gloceri G J, Mccoy D M, Reichenbach T G, Duchnowski L J, Ivan J C, et al. Ide height setting based on transfer case setting. U.S. Patent, 1997, No.5593176.
[4] Bemporad A, Morari M. Verification of hybrid systems via mathematical programming. Hybrid Systems: Computation and Control, 1999; 1569: 31–45.
[5] Yang L, Chen S Z, Wu Z C, Zhang B. Design on bus air suspension height of electronic control system. Beijing Automotive Engineering, 2007; 2: 4–7.
[6] Kim W, Lee JW, Kim H K, Doo M S, Kim H S. Handling Analysis of Height control and ECS. Korea ADAMS User Conference, 2001; pp.1–9.
[7] Song Y. Study on ride height PID control technology of air suspension vehicle. Journal of Hubei Automotive Industries Institute, 2007; 21(2): 1–4.
[8] Bao W N, Chen L P, Zhang Y Q. A study on dynamics model for coupled air springs suspension system. Automotive Engineering, 2008; 30(3): 231–234.
[9] Bjorn O S, Darris W. Electronic height control. U.S. Patent, 2005, No.6959932B2.
[10] Hyunsup K, Hyunsup K, Hyeongcheol L. Asynchronous and synchronous load leveling compensation algorithm in airspring suspension. Control, Automation and Systems, 2007; 10: 367–372.
[11] Yu W B, Zhang L Z, Li N. Study of the fuzzy control of air suspention of vehicle height system. Electronic Instrumentation Customer, 2006; 13(2): 6–8.
[12] He E B, Du Q G, Feng Y Y. Fuzzy-PID control of body height adjustment for vehicles with electrically controlled air suspension. Machine Tool & Hydraulics, 2012; 40(5): 86–88.
[13] Xu X, Chen Z Z, Quan L, Li Z X, Zhou K K. Real-time tracking of ride height for bus with electronically controlled air suspension. Journal of Mechanical Engineering, 2011; 47(2): 136–141.
[14] Xu X, Chen Z Z, Li Z X, Huang J M, Zhou K K. Investigation on modeling and control of body height adjustment for bus with electrically controlled air suspension. Automobile Technology, 2009; 11: 42–46.
[15] Sun X Q, Cai Y F, Wang S H, Liu Y L, Chen L. 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.
[16] Cao T, Zheng Y. Method for determining neural network characteristic parameters in fault diagnosis system for wind turbines. Journal of Drainage and Irrigation Machinery Engineering, 2014; 32(3): 247–251.
[17] Liu G D. Working conditions diagnosis of surface-driving progressive cavity pump wells based on support vector machine. Journal of Drainage and Irrigation Machinery Engin, 2014; 32(2): 125–129.
[18] Guan H O, Du S H, Xu S H, Zuo Y H. Detection model of unfertilized egg based on improved projection pursuit and fuzzy neural network. Journal of Jiangsu University (Natural Science Edit), 2013; 34(2): 171–177.
[19] Cai G L,Yao Q, Jiang S Q. Global synchronization of cellular neural network with time delays by modified sliding mode control method. Journal of Jiangsu University (Natural Science Edit), 2014; 35(3): 366–372.
[20] Marsik J, Strejc V. Application of identification-free algorithms for adaptive control. Automatica, 1989; 25(2): 273–277.
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Published
2016-03-31
How to Cite
Yuexia, C., Long, C., Ruochen, W., Xing, X., Yujie, S., & Yanling, L. (2016). Modeling and test on height adjustment system of electrically-controlled air suspension for agricultural vehicles. International Journal of Agricultural and Biological Engineering, 9(2), 40–47. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/1852
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Power and Machinery Systems
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