基于新型趋近律的智能无人车辆线控转向系统滑模控制

Sliding Mode Control with New Reaching Law for Vehicle Steer-by-Wire System

  • 摘要: 路径跟踪是智能无人车辆的关键技术之一,其中,对线控转向系统的精确控制是影响智能无人车辆路径跟踪精度的重要因素. 为提升线控转向系统在未知扰动下的转角动态响应性能和路径跟踪精度,本文基于一种新型趋近律设计了改进滑模控制方法并应用于线控转向系统. 首先,考虑模型不确定、系统摩擦和齿条力建立线控转向系统数学模型. 然后,分析得到滑模趋近律的设计原理,通过设计参数调节函数构建了一种新型滑模趋近律实现趋近速度的动态调节,并对比分析了其在离散形式下的性能. 最后,针对线控转向系统,设计改进滑模控制方法. 仿真和试验结果表明,改进滑模控制方法能够改善线控转向系统对转角的动态响应性能,提高路径跟踪精度.

     

    Abstract: Path tracking is one of key technologies for intelligent unmanned vehicles, in which the precise control of steer-by-wire (SBW) system is an important factor affecting the accuracy of path tracking. In order to improve the dynamic response performance of SBW system and the accuracy of path tracking under unknown disturbance, an improved sliding mode control method based on a new reaching law is designed and applied to SBW system. Firstly, the mathematical model of SBW system is established considering model uncertainty, system friction and rack force. Secondly, the design principle of sliding mode reaching law is analyzed and obtained. A new sliding mode reaching law is constructed by designing and adding parameter adjusting function. It can adjust the reaching speed dynamically and its performance in discrete form is compared and analyzed. Finally, an improved sliding mode control method is designed for SBW system. Simulation and test results show that the improved sliding mode control method can optimize the dynamic response performance of SBW system for steering wheel angle, and improve the path tracking accuracy.

     

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