105
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

Design and analysis of robust state constraint control for direct yaw moment control system

ORCID Icon, , &
Pages 551-560 | Received 07 May 2021, Accepted 12 Jun 2021, Published online: 06 Aug 2021

References

  • Ma X, Wong PK, Jing Z, et al. Multi-objective sliding mode control on vehicle cornering stability with variable gear ratio actuator-based active front steering systems[J]. Sensors. 2017;17(1):49.
  • Mousavinejad E, Han QL, Yang F, et al. Integrated control of ground vehicles dynamics via advanced terminal sliding mode control [J]. Veh Syst Dyn. 2017;55(2):268–294.
  • Iman M, Reza K. Variable structure controller design for steer-by-wire system of a passenger car[J]. J Mech Sci Technol. 2014;28(8):3285–3299.
  • Ding S, Liu L, Zheng WX. Sliding mode direct yaw-moment control design for in-wheel electric vehicles[J]. IEEE Trans Ind Electron. 2017;64(8):6752–6762.
  • Wang X, Jibin HU, Jun NI. MPC-based trajectory tracking via active front steering and external yaw moment[C]. 4th International Conference on Vehicle, Mechanical and Electrical Engineering, Taiyuan, Shanxi, China, 2017.
  • Fesharaki SJ, Talebi HA. Active front steering using stable model predictive control approach via LMI[J]. Cont Eng Appl Inform. 2014;16(2):90–97.
  • Ren B, Hong C, Zhao H, et al. Integrated control of in-wheel-motored electric vehicles using a model predictive control method[C] Proceeding of the 11th World Congress on Intelligent Control and Automation, Shenyang, Liaoning, China, 2014.
  • Wei J, Shi GB, Lin Y. Research on yaw stability control of active front steering based on BP neural network PID[J]. Adv Mater Res. 2012,(765–767):1903–1907.
  • Aalizadeh B, Asnafi A. Combination of particle swarm optimization algorithm and artificial neural network to propose an efficient controller for vehicle handling in uncertain road conditions[J]. Neural Comput Appl. 2016;30:585–593.
  • Kadir ZA, Mazlan SA, Zamzuri H, et al. Adaptive Fuzzy-PI control for active front steering system of armoured vehicles: outer loop control design for firing on the move system[J]. Strojniski Vestnik. 2015;61(3):187–195.
  • Li YL, Huang PW, Tao X. A research on adaptive neural network control strategy of vehicle yaw stability[C]. Fourth International Conference on Intelligent Systems Design & Engineering Applications, Zhangjiajie, Hunan, China, 2014.
  • Ma H, Li C, Fu WZ. Direct Yaw-moment control based on fuzzy logic of four wheel drive vehicle under the cross wind[J]. Energy Procedia. 2017;105:2310–2316.
  • Jin X, Yu Z, Yin G, et al. Improving vehicle handling stability based on combined AFS and DYC system via robust Takagi-Sugeno Fuzzy control[J]. IEEE Trans Intell Transp Syst. 2017; 19(8): 2696-2707.
  • Zhao WZ, Yijun LI, Wang CY. Robust control of hand wheel torque for active front steering system[J]. Sci China. 2015;58(1):107–116.
  • Wu J, Zhao YQ, Ji XW, et al. A modified structure internal model robust control method for the integration of active front steering and direct yaw moment control[J]. Ence China Technol Ences. 2015;58(1):75–85.
  • Ramli L, Sam YM, Mohamed Z, et al. Composite nonlinear feedback control with multi-objective particle swarm optimization for active front steering system[J]. J Teknologi. 2015;72(2):13–20.
  • Ramli L, Sam YM, Mohamed Z, et al. Optimal composite nonlinear feedback with multi-objective genetic algorithm for active front steering system[C]. Proceedings of the 10th Asian Control Conference, Kota Kinabalu, Malaysia, 2015.
  • Inagaki S, Kushiro I, Yamamoto M. Analysis on vehicle stability in critical cornering using phase-plane method[J]. JSAE Rev. 1995;16(2):216.
  • Inagaki FS. Vehicle stability control in limit cornering by active brake[J]. JSAE Rev. 1995;16(3):323.
  • Hu T, Lin Z, Chen BM. An analysis and design method for linear systems subject to actuator saturation and disturbance[J]. Automatica. 2002;38(2):351–359.
  • Hu T, Lin Z. Composite quadratic lyapunov functions for constrained control systems[J]. IEEE Trans Autom Control. 2003;48(3):440–450.
  • Gilbert EG, Ong CJ An extended command governor for constrained linear systems with disturbances[C]. Proceedings of the IEEE Conference on Decision and Control, Shanghai, China, 2009.
  • Gilbert E, Kolmanovsky I. Nonlinear tracking control in the presence of state and control constraints: a generalized reference governor[J]. Automatica. 2002;38(12):2063–2073.
  • Bemporad A. Reference governor for constrained nonlinear systems[J]. Auto Cont IEEE Trans. 1998;43(3):415–419.
  • Kogiso K, Hirata K. Reference governor for constrained systems with time-varying references[J]. Rob Auton Syst. 2009;57(3):289–295.
  • Bemporad A, Borrelli F, Morari M. Model predictive control based on linear programming - the explicit solution[J]. IEEE Trans Autom Control. 2002;47(12):1974–1985.
  • De Haan D, Guay M. Extremum-seeking control of state-constrained nonlinear systems[J]. Automatica. 2005;41(9):1567–1574.
  • Tang ZL, Tee KP, Wei H. Tangent barrier Lyapunov functions for the control of output-constrained nonlinear systems[J]. IFAC Proc Volumes. 2013;46(20):449–455.
  • Wu XJ, Wu XL, Luo XY, et al. Brief Paper - Dynamic surface control for a class of state-constrained non-linear systems with uncertain time delays[J]. Cont Theor Applicat Iet. 2012;6(12):1948–1957.
  • Niu B, Zhao J. Barrier Lyapunov functions for the output tracking control of constrained nonlinear switched systems[J]. Syst Control Lett. 2013;62(10):963–971.
  • Lei M, Li D. Adaptive neural networks control using barrier Lyapunov functions for DC motor system with time-varying state constraints[J]. Complexity. 2018;2018:1–9.
  • Han SI, Cheong JY, Lee JM. Barrier Lyapunov function-based sliding mode control for guaranteed tracking performance of robot manipulator[J]. Math Prob Eng. 2013;2013(pt.14):633–654.
  • Luo S, Wang J, Wu S, et al. Chaos RBF dynamics surface control of brushless DC motor with time delay based on tangent barrier Lyapunov function[J]. Nonlinear Dyn. 2014;78(2):1193–1204.
  • Jazar RN. Vehicle dynamics[M]. New York: Springer; 2014.
  • Rajamani R, Dynamics V. Control[M]. Springer Science. 2006.
  • Tee KP, Ge SS, Tay EH. Barrier Lyapunov functions for the control of output-constrained nonlinear systems[J]. IFAC Proc Volumes. 2013;46(4):449–455.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.