Abstract
This paper proposes a control strategy aiming at the lateral and longitudinal motion performance for the skid steering distributed drive unmanned platform. Firstly, through the mechanic's theory, a seven-degree-of-freedom model of the skid steering vehicle is established, including the body dynamics model, the wheel dynamics model, and the tire model. Secondly, a hierarchical control strategy is designed. The upper layer calculates the expected path as the expected value of wheel speed and yaw rate based on pre-targeting theory and vehicle kinematics reference model; the lower layer control structure is based on model predictive control, the control problem under the platform's lateral and longitudinal composite motion conditions is transformed into the tracking problem of the target wheel speed and the target yaw rate. The torque of the wheel is the output, which realizes the lateral and longitudinal synthetic control of the unmanned platform, and takes into account the optimal control of the wheel slip rate. A simulation model is built in Simulink software, and the corresponding simulation conditions are verified. The results show that the proposed lateral and longitudinal motion control strategy for skid steering unmanned platform is stable and accurate.
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References
Zhao, Y., Deng, H., Li, Y., et al.: Coordinated control of stability and economy based on torque distribution of distributed drive electric vehicle. Proc. Instit. Mech. Eng., Part D: J. Automobile Eng. 234(6), 1792–1806 (2020)
Yu, Z., Leng, B., Xiong, L., et al.: Direct yaw moment control for distributed drive electric vehicle handling performance improvement. Chinese J. Mech. Eng. 29(3), 486–497 (2016)
Asiabar, A.N., Kazemi, R.: A direct yaw moment controller for a four in-wheel motor drive electric vehicle using adaptive sliding mode control. Proc. Instit. Mech. Eng., Part K: J. Multi-body Dyn. 233(3), 549–567 (2019)
Tahami, F., Farhangi, S., Kazemi, R.: A fuzzy logic direct yaw-moment control system for all-wheel-drive electric vehicles. Veh. Syst. Dyn. 41(3), 203–221 (2004). https://doi.org/10.1076/vesd.41.3.203.26510
Ding, S., Liu, L., Zheng, W.X.: Sliding mode direct yaw-moment control design for in-wheel electric vehicles. IEEE Trans. Industr. Electron. 64(8), 6752–6762 (2017)
Zhang, J., Li, J.: Integrated vehicle chassis control for active front steering and direct yaw moment control based on hierarchical structure. Trans. Inst. Meas. Control. 41(9), 2428–2440 (2019)
Huang, B., Sen, W., Huang, S., Xiang, F.: Lateral stability control of four-wheel independent drive electric vehicles based on model predictive control. Math. Probl. Eng. 2018, 1–15 (2018). https://doi.org/10.1155/2018/6080763
Ren, B., Chen, H., Zhao, H., Yuan, L.: MPC-based yaw stability control in in-wheel-motored EV via active front steering and motor torque distribution. Mechatronics 38, 103–114 (2016). https://doi.org/10.1016/j.mechatronics.2015.10.002
Chen, S., Chen, H.: MPC-based path tracking with PID speed control for autonomous vehicles. IOP Conf. Ser.: Mater. Sci. Eng. IOP Publish. 892(1), 012034 (2020)
Cai, J., Jiang, H., Chen, L., et al.: Implementation and development of a trajectory tracking control system for intelligent vehicle. J. Intell. Rob. Syst. 94(1), 251–264 (2019)
Chen, K., Pei, X., Okuda, H., et al.: A hierarchical hybrid system of integrated longitudinal and lateral control for intelligent vehicles. ISA Trans. 106, 200–212 (2020)
Chen, J., Lin, C., Liang, S.: Mixed logical dynamical model-based MPC for yaw stability control of distributed drive electric vehicles. Energy Procedia 158, 2518–2523 (2019). https://doi.org/10.1016/j.egypro.2019.01.407
Kiencke, U., Nielsen, L.: Automotive control systems. Autom. Control Syst. 8(4), 11–19 (2012)
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Xie, J., Han, L., Ren, X., Liu, H. (2023). Skid Steering Control Strategy of Distributed Drive Unmanned Platform. In: Proceedings of China SAE Congress 2022: Selected Papers. SAE-China 2022. Lecture Notes in Electrical Engineering, vol 1025. Springer, Singapore. https://doi.org/10.1007/978-981-99-1365-7_64
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DOI: https://doi.org/10.1007/978-981-99-1365-7_64
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