Active Disturbance Rejection Control of Steering Wheel Torque in Integrated Electric-Hydraulic Steering System

被引：0
|
作者：
Wang S. [1 ]
Shi G. [1 ]
Zhang H. [1 ]
Ju C. [1 ]
Sang D. [1 ]
机构：
[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing
来源：
Qiche Gongcheng/Automotive Engineering | 2021年 / 43卷 / 05期
关键词：
ADRC; IEHS; Steering wheel torque;
D O I：
10.19562/j.chinasae.qcgc.2021.05.017
中图分类号：
学科分类号：
摘要：
Aiming at the poor road feel of integrated electro-hydraulic steering (IEHS) system in commercial vehicles caused by nonlinearity, time-varying parameters and exterior interference etc., an active disturbance rejection control (ADRC) strategy for IEHS system is proposed with the ideal steering wheel torque as the target. On the basis of analyzing structure principle, a mathematical model for the system is built, and according to the steering performance requirements of commercial vehicles, the ideal steering wheel torque of driver is determined based on the speed and lateral acceleration, and with which as the control target, the ADRC control is adopted to track the target hand force. A comparative simulation on the proposed strategy with different disturbances applied and PID control is conducted. The results show that the ADRC algorithm proposed can well track the steering wheel torque with higher disturbance resistance capability than PID control, so effectively enhancing the robustness of closed-loop tracking control for steering wheel torque. © 2021, Society of Automotive Engineers of China. All right reserved.
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页码：770 / 775and790
相关论文
共 19 条
  • [1] LIN Y, SHI G B., Development status and tendency of electric power steering, Journal of Highway and Transportation Research and Development, 18, 3, pp. 79-82, (2001)
  • [2] ROGERS K, KIMBERLEY W., Turning steering to electric, Automotive Engineer, 108, 2, pp. 39-41, (2000)
  • [3] ZHAO W, LUAN Z, WANG C., Parameter optimization design of vehicle E-HHPS system based on an improved MOPSO algorithm, Advances in Engineering Software, 123, pp. 51-61, (2018)
  • [4] ZHAO W, LUAN Z, WANG C., Parametric optimization of novel electric-hydraulic hybrid steering system based on a shuffled particle swarm optimization algorithm, Journal of Cleaner Production, 186, pp. 865-876, (2018)
  • [5] GAO K, ZHAO W Q, ZONG C F., Constant moment control with assistant compensation on the based of dynamic steering system for commercial vehicle, Science Technology and Engineering, 7, pp. 124-127, (2017)
  • [6] ZHAO W Q, GAO K, ZONG C F., Prevention of instability control of commercial vehicle based on integrated electric-hydraulic steering system, Journal of Jilin University, 48, 5, pp. 1305-1312, (2018)
  • [7] YIN C H, JIANG H B, TANG B., Handling stability and energy-saving of commercial vehicle electronically controlled hybrid power steering system, Journal of Jiangsu University, 40, 3, pp. 269-275, (2019)
  • [8] WILLIAMS D E, SHERWIN K A., Artificial steering feel, SAE International Journal of Passenger Cars-Mechanical Systems, 2, 1, pp. 229-238, (2009)
  • [9] WILLIAMS D E., Synthetic torque feedback to improve heavy vehicle drivability, Proceedings of the Institution of Mechanical Engineers Part D: Journal of Automobile Engineering, 223, 12, pp. 1517-1527, (2009)
  • [10] PARK J I, JEON K, YI K., The development of optimum control strategy for hybrid EPS system using Taguchi Method, Intelligent Vehicles Symposium, (2015)
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