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Research on Steering-Following System of Intelligent Vehicle-in-the-Loop Testbed

机译:智能车载循环试验台转向后系统的研究

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摘要

Intelligent Vehicle (IV) is expected to revolutionize the way vehicles operating in the next few decades. The most commonly used method to test the functionality of the IV is to use the IV testbed for operable and economic reasons. However, the traditional testbed only has the ability to test the longitudinal movement and is not capable of studying the lateral movement of the IV, which extremely restricts the developments of the IV testing technologies (e.g., IV lane-keeping and lane-changing testing). To this end, this paper presents a novel steering-following system (SFS) for the intelligent vehicle-in-the-loop (VIL) testbed. The SFS is able to obtain the real-time steering angle differences between the front wheels and the drum roller by two-pair laser distance sensors equipped on the testbed. Then the value and changing rate of the obtained real-time steering angle difference are set as the inputs of a fuzzy sliding mode control (FSMC) algorithm. The outputs of the FSMC algorithm are used to control the operation of the servo motors. With that, the testbed accurately tracks the steering maneuver of the IV at any time. A simulation-based experiment and a VIL-based experiment show that the designed SFS with the FSMC algorithm is able to provide accurate and stable tracking results for the IV steering maneuvers under different scenarios.
机译:预计智能车辆(IV)将彻底改变未来几十年的车辆的方式。测试IV的功能的最常用方法是使用IV测试台以进行可操作和经济原因。然而,传统的测试用床仅具有测试纵向运动的能力,并且不能研究IV的横向运动,这极大地限制了IV测试技术的发展(例如,IV巷道和车道变化的测试) 。为此,本文提出了一种用于智能车载换行(VIL)的新型转向系统(SFS)。通过在测试平面上的双对激光距离传感器,SFS能够通过配备的双轮和滚筒辊之间获得实时转向角差。然后,所获得的实时转向角差的值和改变率被设置为模糊滑模控制(FSMC)算法的输入。 FSMC算法的输出用于控制伺服电机的操作。由此,测试台随时准确地跟踪IV的转向操纵。基于仿真的实验和基于VIL的实验表明,具有FSMC算法的设计SFS能够为IV在不同场景下的IV转向机动提供准确且稳定的跟踪结果。

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