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Integrated trajectory planning and control for obstacle avoidance manoeuvre using non-linear vehicle MP algorithm

机译:非线性车辆MP算法的避障机动集成轨迹规划与控制

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摘要

In the current literature, model-predictive (MP) algorithm is widely applied in autonomous vehicle trajectory planning and control but most of the current studies only apply the linear tyre model, which cannot accurately present the tyre non-linear characteristic. Furthermore, most of these studies separately consider the trajectory planning and trajectory control of the autonomous vehicle and few of them have integrated the trajectory planning and trajectory control together. To fill in above research gaps, this study proposes the integrated trajectory planning and trajectory control method using a non-linear vehicle MP algorithm. To fully utilise the advantages of four-wheel-independent-steering and four-wheel-independent-driving vehicle, the MP algorithm is proposed based on four-wheel dynamics model and non-linear Dugoff tyre model. This study also proposes the mathematical modelling of the static obstacle and dynamic obstacle for the obstacle avoidance manoeuvre of the autonomous vehicle. Finally, simulation results have been presented to show the effectiveness of the proposed control method.
机译:在当前文献中,模型预测(MP)算法被广泛应用于自动车辆的轨迹规划和控制,但是当前的大多数研究仅应用线性轮胎模型,不能准确地呈现轮胎的非线性特性。此外,这些研究中的大多数单独地考虑了自动驾驶车辆的轨迹规划和轨迹控制,并且很少有将轨迹规划和轨迹控制集成在一起的。为了填补上述研究空白,本研究提出了一种使用非线性车辆MP算法的综合轨迹规划和轨迹控制方法。为了充分利用四轮独立转向和四轮独立驾驶车辆的优势,提出了基于四轮动力学模型和非线性Dugoff轮胎模型的MP算法。该研究还提出了用于自动驾驶车辆的避障机动的静态障碍物和动态障碍物的数学模型。最后,仿真结果表明了该控制方法的有效性。

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  • 来源
    《Intelligent Transport Systems, IET》 |2019年第2期|385-397|共13页
  • 作者单位

    Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China|Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia;

    Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia;

    Univ Wollongong, Sch Mech Mat & Mechatron Engn, Wollongong, NSW 2522, Australia;

    Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China;

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