极端工况下电动助力转向系统自抗扰控制策略研究

Zhuan Zheng, JinCheng Wei
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引用次数: 0

摘要

针对电机干扰、阻尼、摩擦等不确定因素对电动助力转向系统在极端工况下运行的影响,提出了一种基于自抗扰算法的电动助力转向系统控制策略。在自抗扰控制中,采用最快跟踪微分器对目标信号进行过渡,扩展状态观测器对系统中的总扰动进行补偿。利用转矩微分法对监测转矩进行了相位补偿。Simulink/Carsim仿真结果表明,与PID和模糊PID相比,自抗扰控制器的抗干扰性能有明显提高。采用自抗扰器时,辅助电流跟踪精度提高45.8% ~ 75.8%,电流调节时间缩短35.6% ~ 61.7%。相位补偿后,监测转矩超调量减小83.3%。因此,该控制策略提高了EPS的鲁棒性和转向感觉。
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Research on active disturbance rejection control strategy of electric power steering system under extreme working conditions
In response to the influence of motor interference, damping, friction, and other uncertain factors on the operation of electric power steering systems under extreme working conditions, this study proposes a control strategy for electric power steering systems based on an active disturbance rejection algorithm. In ADRC, the fastest tracking differentiator is used to arrange the transition process for the target signal, and the extended state observer compensates for the total disturbance in the system. Phase compensation has been performed on the monitoring torque by using the torque differentiation method. The Simulink/Carsim simulation results show that ADRC has significantly improved anti-disturbance performance compared to PID and fuzzy PID. When using ADRC, the tracking accuracy of the assisted current is enhanced by 45.8%–75.8%, and the current adjustment time is reduced by 35.6%–61.7%. After phase compensation, the monitoring torque overshoot is reduced by 83.3%. Therefore, the proposed control strategy improves EPS’s robustness and steering feel.
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