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首页> 外文期刊>Intelligent Transport Systems, IET >Lateral stability enhancement based on a novel sliding mode prediction control for a four-wheel-independently actuated electric vehicle
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Lateral stability enhancement based on a novel sliding mode prediction control for a four-wheel-independently actuated electric vehicle

机译:基于新型滑模预测控制的四轮独立致动电动汽车横向稳定性增强

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摘要

This study presents a novel direct yaw-moment control scheme to improve the lateral stability for a four-wheel-independently actuated electric vehicle. The proposed scheme adopts a cascaded structure that consists in an upper and a lower controller. A novel sliding mode prediction controller is proposed and used in the upper controller for deriving the desired additional yaw moment for lateral stability enhancement. By using the historic and current sliding mode information for the futuristic sliding mode dynamic prediction, the synthesised control law exhibits better robustness to matched/unmatched uncertainties and significantly mitigates the chattering phenomenon. An optimisation-based torque allocation algorithm is presented in the lower controller to optimally appropriate the driving torques to each in-wheel motor based on selected criteria. The effectiveness of the proposed method is verified through simulation and hardware-in-the-loop tests, which yields better performance compared to the rule-based method.
机译:这项研究提出了一种新颖的直接偏航力矩控制方案,以提高四轮独立致动电动汽车的横向稳定性。该方案采用了由上,下控制器组成的级联结构。提出了一种新颖的滑模预测控制器,并在上部控制器中使用该控制器来导出所需的附加横摆力矩以增强横向稳定性。通过将历史和当前滑模信息用于未来滑模动态预测,综合控制律对匹配/不匹配的不确定性表现出更好的鲁棒性,并显着减轻了颤振现象。在下部控制器中提供了基于优化的扭矩分配算法,以根据选定的标准将驱动扭矩最佳地分配给每个轮毂电机。通过仿真和硬件在环测试验证了该方法的有效性,与基于规则的方法相比,该方法具有更好的性能。

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