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Research on disturbance rejection control strategy of vehicle drive axle loading test bench

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Aiming at the problems of parameter disturbance and coupling disturbance in a vehicle drive axle loading test-bed, this paper used the adaptive backstepping sliding mode control (ABSMC) strategy to design the controller for the speed and torque system. The effectiveness of the controller has been verified by simulation and an experiment. The results show that the equivalent moment of inertia is increased by 5 times, and the step response overshoot of the speed system is 4.1%. By adding a random disturbance, the sinusoidal tracking errors of the speed and torque systems are 0.05 r/min and 0.09Nm, respectively.
Rocznik
Strony
227--238
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
autor
  • Liaoning Technical University, School of Mechanical Engineering, Fuxin, China
autor
  • Liaoning Technical University, School of Mechanical Engineering, Fuxin, China
autor
  • Liaoning Technical University, School of Mechanical Engineering, Fuxin, China
autor
  • Liaoning Technical University, School of Mechanical Engineering, Fuxin, China
Bibliografia
  • 1. Ding Q., Peng S., Qiu L.H., Wang Z.L., Tang Z.Y., 2006, Study on predictive control of secondary regulation loading system (in Chinese), China Mechanical Engineering, 17, 10, 1022-1025.
  • 2. Esmaeili N., Kazemi R., Oreh S., 2019, An adaptive sliding mode controller for the lateral control of articulated long vehicles, Proceedings of the Institution of Mechanical Engineers, 233, 3, 487-515.
  • 3. Fajri P., Lee S., Prabhala V., Ferdowsi M., 2016,Modeling and integration of electric vehicle regenerative and friction braking for motor/dynamometer test bench emulation, IEEE Transactions on Vehicular Technology, 65, 6, 4264-4273.
  • 4. Han S.B., Chang Y.H., Chung Y.J., Lee E.Y., Suh B., Framk A., 2009, Fuel economy comparison of conventional drive trains series and parallel hybrid electric step vans, International Journal of Automotive Technology, 10, 2, 235-240.
  • 5. Hu J.B., Guo X.L., Yuan S.H., Peng Z.X., 2008, Dynamic characteristics of hydrostatic secondary control load simulation system and the approach to resist load disturbance (in Chinese), Journal of Agricultural Machinery, 39, 6, 150-153.
  • 6. Huang S.J., Yang C.S., 2015, Adaptive functional approximation strategy for a four-wheel drive electrical vehicle driving speed control, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 229, 4, 319-333.
  • 7. Lauwerys C., Swevers J., Sas P., 2005, Robust linear control of an active suspension on a quarter car test-rig, Control Engineering Practice, 13, 5, 577-586.
  • 8. Li M.X., Jia Y.M., 2017, Decoupling and robust control of velocity-varying four-wheel steering vehicles with uncertainties via solving attenuating diagonal decoupling problem, Journal of the Franklin Institute, 354, 1, 105-122.
  • 9. Li M.X., Jia Y.M., Du J.P., 2014, LPV control with decoupling performance of 4WS vehicles under velocity-varying motion, IEEE Transactions on Control Systems Technology, 22, 5, 1708-1724.
  • 10. Pang H., Yao R., Wang P., Xu Z., 2021, Adaptive backstepping robust tracking control for stabilizing lateral dynamics of electric vehicles with uncertain parameters and external disturbances, Control Engineering Practice, 110, 4, 104-116.
  • 11. Peng J., He H., Feng N., 2013, Simulation research on an electric vehicle chassis system based on a collaborative control system, Energies, 6, 1, 312-328.
  • 12. Shen W., Huang H., Pang Y., Su X., 2017, Review of the energy saving hydraulic system based on common pressure rail, IEEE Access, 5, 655-669.
  • 13. Song J.C., Ju Y.F., 2020, Distributed adaptive sliding mode control for vehicle platoon with uncertain driving resistance and actuator saturation, Complexity, 20, 1-12.
  • 14. Su D.H., Wang M.X., 2006, Application of modern control theory in secondary speed regulation system (in Chinese), Machine tool and hydraulic, 05, 120-121.
  • 15. Wang H., Wang L., Lin Y.H., Yao J.H., 2018, Application of sliding mode control in servo loading systems with secondary regulation (in Chinese), Control Engineering, 25, 11, 1971-1975.
  • 16. Zang F.Y., Wang Y., Kong X.Z., 2014, Fuzzy-neural network control on secondary hydraulic transmission system, Advanced Materials Research, 945-949, 1615-1618.
  • 17. Zang F.Y., Wang Y., Yang R.M., 2016, Robust control for a class of secondary regulation rotate speed systems via Hamiltonian function method, Journal of Intelligent and Fuzzy Systems, 32, 1, 991-997.
  • 18. Zhai L., Sun T., Jie W., 2016, Electronic stability control based on motor driving and braking torque distribution for a four in-wheel motor drive electric vehicle, IEEE Transactions on Vehicular Technology, 65, 6, 4726-4739.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-940a05da-4b38-429b-b944-4f6741d79fb5
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