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Automotive Engineering ›› 2022, Vol. 44 ›› Issue (11): 1676-1688.doi: 10.19562/j.chinasae.qcgc.2022.11.006

Special Issue: 智能网联汽车技术专题-规划&控制2022年

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Robust Control for Shared Steering Control System Based on Authority Level Dynamic Allocation

Xueyun Li1,2,Yiping Wang1,2(),Chuqi Su1,2,Xinle Gong3,Hung Jin3(),Xun Liu1,2,Xiaohong Yuan1,2,Huiqian Li3   

  1. 1.Wuhan University of Technology,Hubei Key Laboratory of Advanced Technology for Automotive Components,Wuhan  430070
    2.Wuhan University of Technology,Hubei Research Center for New Energy & Intelligent Connected Vehicle,Wuhan  430070
    3.School of Vehicle and Mobility,Tsinghua University,Beijing  100084
  • Received:2022-04-25 Revised:2022-05-18 Online:2022-11-25 Published:2022-11-19
  • Contact: Yiping Wang,Hung Jin E-mail:wangyiping@whut.edu.cn;huangjin@tsinghua.edu.cn

Abstract:

When the sum of the driving rights of the driver and autonomous driving system is fixed to 1, the vehicle steering demand may not match the output of the shared steering control (SSC) system in complex scenarios, which will affect the driving safety of the vehicles. To solve the problem, an authority dynamic allocation approach is proposed, and a robust controller is designed considering the uncertainty of the authority levels and model parameters. Firstly, based on the parallel SSC system framework, an SSC system expansion framework including the driver model, trajectory tracking controller, authority dynamic allocation model, and vehicle model is proposed. The driving state evaluation model, vehicle trajectory tracking state evaluation model, and authority level allocating and decision-making model are proposed. The results of driver’s driving state evaluation and vehicle trajectory tracking state evaluation results are used as the basis for decision-making, combined with the calculation result of the authority allocation model, the authority level of the driver and controller can be determined dynamically. Then, the robust feedback controller is proposed considering the uncertainty of the authority level and vehicle model parameters. Finally, the effectiveness of the proposed SSC system is verified by simulation. The simulation results show that the proposed SSC system can effectively reduce the influence of interference and driver’s misoperation on vehicle safety, and can reduce the driver’s driving load, psychology load and controller workload during steering.

Key words: human machine co-driving system, shared steering control system, authority dynamic allocation, authority allocation level