access icon free DLMPCS-based improved yaw stability control strategy for DDEV

The yaw stability of distributed drive electric vehicle (DDEV) can be guaranteed by the active steering and torque distribution systems. Conventional yaw stability control strategy mainly focuses on the study of yaw moment, while the tyre lateral saturation and excessive longitudinal skid problems are difficult to be solved efficiently. This may lead to the unstable yaw phenomenon of the vehicle such as the sideslip or tail flick. To improve the yaw stability of DDEV under the tyre lateral saturation and excessive longitudinal skid situations, a double-layer model predictive control system (DLMPCS) is presented in this work. The proposed DLMPCS consists of an anti-saturation yaw stability controller (AYSC) and an anti-slip torque distribution controller (ATDC). The AYSC is designed to guarantee the vehicle yaw stability under the tyre lateral saturation situation, through the active steering and yaw moment. The ATDC is designed to realise the torque distribution and keep the longitudinal slip ratio within the stable zone; then, the vehicle can be prevented from the excessive skid phenomenon. The simulation results confirm the improved yaw performance of the DLMPCS for DDEV under different situations.

Inspec keywords: slip; tyres; steering systems; torque control; road vehicles; road safety; stability; distributed control; vehicle dynamics; electric vehicles; predictive control

Other keywords: active steering; anti-saturation yaw stability controller; yaw moment; tyre lateral saturation situation; longitudinal slip ratio; DLMPCS-based; unstable yaw phenomenon; distributed drive electric vehicle; DDEV; excessive longitudinal skid situations; conventional yaw stability control strategy; torque distribution systems; improved yaw performance; vehicle yaw stability; double-layer model predictive control system; excessive longitudinal skid problems; excessive skid phenomenon; anti-slip torque distribution controller

Subjects: Mechanical variables control; Spatial variables control; Mechanical components; Multivariable control systems; Road-traffic system control; Vehicle mechanics; Optimal control; Control technology and theory (production); Stability in control theory; Transportation

References

    1. 1)
      • 2. Wang, B., Huang, X., Wang, J., et al: ‘A robust wheel slip ratio control design combining hydraulic and regenerative braking systems for in-wheel-motors-driven electric vehicles’, J. Franklin Inst., 2015, 352, (2), pp. 577602.
    2. 2)
      • 8. Zhai, L., Sun, T., Wang, J.: ‘Electronic stability control based on motor driving and braking torque distribution for a four in-wheel motor drive electric vehicle’, IEEE Trans. Veh. Technol., 2016, 65, (6), pp. 47264739.
    3. 3)
      • 25. Ding, Y., Wang, L., Li, Y.W., et al: ‘Model predictive control and its application in agriculture: a review’, Comput. Electron. Agric., 2018, 151, pp. 104117.
    4. 4)
      • 7. Zhang, L., Ding, H.T., Guo, K.H., et al: ‘Cooperative chassis control system of electric vehicles for agility and stability improvements’, IET Intel. Transp. Syst., 2019, 13, (1), pp. 134140.
    5. 5)
      • 4. Huang, H., Zhai, L., Wang, Z.D.: ‘A power coupling system for electric tracked vehicles during high-speed steering with optimization-based torque distribution control’, Energies, 2018, 11, (6), pp. 15381555.
    6. 6)
      • 10. Schwickart, T., Voos, H., Hadji-Minaglou, J.R, et al: ‘Design and simulation of a real-time implementable energy-efficient model-predictive cruise controller for electric vehicles’, J. Franklin Inst., 2015, 352, (2), pp. 603625.
    7. 7)
      • 18. Pacejka, H.B.: ‘Tyre and vehicle dynamics seconded’ (Elsevier, London, 2006).
    8. 8)
      • 16. Russell, H.E.B., Gerdes, J.C.: ‘Design of variable vehicle handling characteristics using four-wheel steer-by-wire’, IEEE Trans. Control Syst. Technol., 2016, 24, (5), pp. 15291540.
    9. 9)
      • 22. Shi, K., Yuan, X.F., Liu, L.: ‘Model predictive controller-based multi-model control system for longitudinal stability of distributed drive electric vehicle’, ISA Trans., 2018, 72, pp. 4455.
    10. 10)
      • 9. Wu, J.Y, Tang, H.J, Li, S.Y, et al: ‘Integrated control system design of active front wheel steering and four wheel torque to improve vehicle handling and stability’, Int. J. Autom. Technol., 2007, 8, (3), pp. 299308.
    11. 11)
      • 13. Nahidi, A., Kasaiezadeh, A., Khosravani, S., et al: ‘Modular integrated longitudinal and lateral vehicle stability control for electric vehicles’, Mechatronics, 2017, 44, pp. 6070.
    12. 12)
      • 26. Necoara, I., Ferranti, L., Keviczky, T.: ‘An adaptive constraint tightening approach to linear model predictive control based on approximation algorithms for optimization’, Optim. Control Appl. Methods, 2015, 36, (5), pp. 648666.
    13. 13)
      • 23. Falcone, P., Tseng, H.E., Borrelli, F., et al: ‘MPC-based yaw and lateral stabilisation via active front steering and braking’, Veh. Syst. Dyn., 2008, 46, (1), pp. 611628.
    14. 14)
      • 27. Tessarolo, A.: ‘A quardatic-programming approach to the design optimization of fractional-slot concentrated windings for surface permanent-magnet machines’, IEEE Trans. Energy Convers., 2017, 99, pp. 17.
    15. 15)
      • 6. Daher, N., Ivantysynova, M.: ‘Yaw stability control of articulated frame off-highway vehicles via displacement controlled steer-by-wire’, Control Eng. Pract., 2015, 45, pp. 4653.
    16. 16)
      • 21. Jin, X.J., Yin, G., Zeng, X, et al: ‘Robust gain-scheduled output feedback yaw stability control for in-wheel-motor-driven electric vehicles with external yaw-moment’, J. Franklin Inst., 2018, 355, (18), pp. 92719297.
    17. 17)
      • 12. Yim, S.: ‘Coordinated control of ESC and AFS with adaptive algorithms’, Int. J. Autom. Technol., 2017, 18, (2), pp. 271277.
    18. 18)
      • 19. Shi, K., Yuan, X.F., Huang, G.M., et al: ‘MPC-based compensation control system for the yaw stability of distributed drive electric vehicle’, Int. J. Syst. Sci., 2018, 49, (8), pp. 17951808.
    19. 19)
      • 30. Tao, J., Ma, L., Zhu, Y.: ‘Improved control using extended non-minimal state space MPC and modified LQR for a kind of non-linear systems’, ISA Trans., 2016, 65, pp. 319326.
    20. 20)
      • 15. Ji, X., He, X., Lv, C., et al: ‘Adaptive-neural-network-based robust lateral motion control for autonomous vehicle at driving limits’, Control Eng. Pract., 2018, 76, pp. 4153.
    21. 21)
      • 20. Nagai, M., Shino, M.: ‘Study on integrated control of active front steer angle and direct yaw moment’, JSAE Rev., 2002, 23, (3), pp. 309315.
    22. 22)
      • 29. Jahn, J.: ‘Karush–Kuhn–Tucker conditions in set optimization’, J. Optim. Theory Appl., 2013, 172, (3), pp. 119.
    23. 23)
      • 3. Chindamo, D., Lenzo, B., Gadola, M.: ‘On the vehicle sideslip angle estimation: a literature review of methods, models, and innovations’, Appl. Sci., 2018, 8, (3), pp. 120.
    24. 24)
      • 24. Ren, B., Chen, H., Zhao, H., et al: ‘MPC-based yaw stability control in in-wheel-motored EV via active front steering and motor torque distribution’, Mechatronics, 2015, 38, pp. 103114.
    25. 25)
      • 17. Rajamani, R.: ‘Vehicle dynamics and control’, Mechanical Engineering Series (Springer, Boston, 2006, 1st edn.).
    26. 26)
      • 1. Guo, H.Y., Liu, H., Yin, Z.Y., et al: ‘Modular scheme for four-wheel-drive electric vehicle tire-road force and velocity estimation’, IET Intel. Transp. Syst., 2019, 13, (3), pp. 551562.
    27. 27)
      • 28. Hou, W., Wei, H., Tan, J., et al: ‘A convex quadratic programming model for unit commitment global optimization’, IEEJ. Trans. Electr. Electron. Eng., 2018, 13, (3), pp. 417431.
    28. 28)
      • 11. Wagner, S., Schilling, J.M., Braun, J.L., et al: ‘Design and assessment of optimal feedforward control for active steering configurations in passenger vehicles’, Veh. Syst. Dyn., 2017, 55, (8), pp. 11231142.
    29. 29)
      • 5. Wang, R., Zhang, H., Wang, J., et al: ‘Robust lateral motion control of four-wheel independently actuated electric vehicles with tire force saturation consideration’, J. Franklin Inst., 2015, 352, (2), pp. 645668.
    30. 30)
      • 14. Song, Y.T., Shu, H.Y., Chen, X.B., et al: ‘Direct-yaw-moment control of four-wheel-drive electrical vehicle based on lateral tyre–road forces and sideslip angle observer’, IET Intel. Transp. Syst., 2019, 13, (2), pp. 303312.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-its.2018.5523
Loading

Related content

content/journals/10.1049/iet-its.2018.5523
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading