Control strategy of electric power steering system based on super-twisting algorithm

Jian Wang; Yongyi He; Huiqiang Yu

doi:10.1117/12.2652854

20 October 2022 Control strategy of electric power steering system based on super-twisting algorithm

Jian Wang, Yongyi He, Huiqiang Yu

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 123500H (2022) https://doi.org/10.1117/12.2652854
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

With the development of new energy vehicles, the demand for auto parts is also rising. It is difficult to design the control strategy of EPS system because of multiple control objectives. In this study, a control strategy is introduced which is based on the super twisting algorithm. The control objectives are to provide ideal assist torque, respond quickly and return road information. The EPS dynamic analysis and built model in order to generate the desired motor angle. In order to achieve control objectives, the controller based on super-twisting algorithm is designed. To estimate the EPS system state and unknow inputs, the observer with unknow input is employed. Auxiliary outputs are constructed because the EPS system is not satisfied the observer-matching condition. Using of the second order SM differentiators estimate the auxiliary outputs. Finally, the performance of the controller, observer and differentiator is verified by simulation, and the controller can provide expected the assist torque. The result of simulation show that the control strategy is effectiveness and robustness.

Citation Download Citation

Jian Wang, Yongyi He, and Huiqiang Yu "Control strategy of electric power steering system based on super-twisting algorithm", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 123500H (20 October 2022); https://doi.org/10.1117/12.2652854

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