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Optimum Steering input determination and Path-Tracking of All-Wheel Steer Vehicles on Uneven Terrains based on Constrained Optimization.

机译:基于受约束优化的不均匀地形上的全轮转向车辆的最佳转向输入确定和路径跟踪。

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In this paper we propose a framework for optimum steering input determination of all-wheel steer vehicles (AWSV) on rough terrains. The framework computes the steering input which minimizes the tracking error for a given trajectory. Unlike previous methodologies of computing steering inputs of car-like vehicles, the proposed methodology depends explicitly on the vehicle dynamics and can be extended to vehicle having arbitrary number of steering inputs. A fully generic framework has been used to derive the vehicle dynamics and a non-linear programming based constrained optimization approach has been used to compute the steering input considering the instantaneous vehicle dynamics, no-slip and contact constraints of the vehicle. All Wheel steer Vehicles have a special parallel steering ability where the instantaneous centre of rotation (ICR) is at infinity. The proposed framework automatically enables the vehicle to choose between parallel steer and normal operation depending on the error with respect to the desired trajectory. The efficacy of the proposed framework is proved by extensive uneven terrain simulations, for trajectories with continuous or discontinuous velocity profile.
机译:在本文中,我们提出了一个框架,用于在粗糙的地形上的全轮转向车辆(AWSV)的最佳转向输入确定。该框架计算转向输入,从而最小化给定轨迹的跟踪误差。与先前的计算车辆转向输入的方法不同,所提出的方法明确地依赖于车辆动力学,并且可以扩展到具有任意数量的转向输入的车辆。已经使用全通用框架来导出车辆动态,并且基于非线性编程的基于限制的受限优化方法用于计算考虑车辆的瞬时车辆动力学,无滑动和接触约束的转向输入。所有车轮转向车辆都具有特殊的平行转向能力,其中瞬时旋转(ICR)是无限的。所提出的框架自动使车辆能够根据所需轨迹的误差来选择并行转向和正常操作。通过广泛的不均匀地形模拟证明了所提出的框架的功效,用于具有连续或不连续的速度曲线的轨迹。

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