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Adaptive fuzzy sliding mode control design for vehicle steer-by-wire systems

机译:用于车辆转向型系统的自适应模糊滑模控制设计

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This paper presents a novel adaptive fuzzy sliding mode (AFSM) control scheme for a vehicle steer-by-wire (SbW) system. Initially, the dynamics of the SbW system are described by a second-order differential equation where the Coulomb friction and the self-aligning torque are treated as external disturbances. Furthermore, an AFSM controller is designed for the SbW system, which utilizes an adaptive law to estimate both the Coulomb friction and the self-aligning torque, a sliding mode control component to deal with the parametric uncertainties and unmodeled dynamics, and a fuzzy strategy to strike a good balance between the chattering-alleviation and the tracking precision. The stability of the control system is verified in the sense of Lyapunov, and the selection of control parameters is provided in detail. Lastly, experiments are carried out under various road conditions. The experimental results demonstrate that the developed AFSM controller possesses superiority in terms of higher tracking accuracy, stronger robustness and a better balance between the control precision and smoothness in comparison with a conventional sliding mode (CSM) controller and a boundary layer-based adaptive sliding mode (BLASM) controller.
机译:本文介绍了一种用于车辆转向线(SBW)系统的新型自适应模糊滑模(AFSM)控制方案。最初,SBW系统的动态由第二阶微分方程描述,其中库仑摩擦和自对准扭矩被视为外部干扰。此外,AFSM控制器设计用于SBW系统,其利用自适应定律来估计库仑摩擦和自对准扭矩,滑动模式控制部件来处理参数化不确定性和未拼接的动态,以及模糊策略在喋喋不休和跟踪精度之间取得良好的平衡。在Lyapunov的意义上验证了控制系统的稳定性,详细提供了控制参数的选择。最后,实验在各种道路条件下进行。实验结果表明,与传统的滑动模式(CSM)控制器和基于边界层的自适应滑动模式相比,开发的AFSM控制器在更高的跟踪精度,更强的鲁棒性和更好的平衡之间具有更高的鲁棒性和更好的平衡。 (Blasm)控制器。

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