...
首页> 外文期刊>Robotics and Autonomous Systems >Path following hybrid control for vehicle stability applied to industrial forklifts
【24h】

Path following hybrid control for vehicle stability applied to industrial forklifts

机译:混合动力路径跟随控制技术在工业叉车上的应用

获取原文
获取原文并翻译 | 示例

摘要

The paper focuses on a closed-loop hybrid controller (kinematic and dynamic) for path following approaches with industrial forklifts carrying heavy loads at high speeds, where aspects such as vehicle stability, safety, slippage and comfort are considered. The paper first describes a method for generating Double Continuous Curvature (DCC) paths for non-holonomic wheeled mobile robots, which is the basis of the proposed kinematic controller. The kinematic controller generates a speed profile, based on "slow-in" and "fast-out" policy, and a curvature profile recomputing DCC paths in closed-loop. The dynamic controller determines maximum values for decelerations and curvatures, as well as bounded sharpness so that instantaneous vehicle stability conditions can be guaranteed against lateral and frontal tip-overs. One of the advantages of the proposed method, with respect to full dynamic controllers, is that it does not require dynamic parameters to be estimated for modelling, which in general can be a difficult task. The proposed kinematic-dynamic controller is afterwards compared with a classic kinematic controller like Pure-Pursuit. For that purpose, in our hybrid control structure we have just replaced the proposed kinematic controller with Pure-Pursuit. Several metrics, such as settling time, overshoot, safety and comfort have been analysed.
机译:本文着重研究一种闭环混合控制器(运动和动态),用于工业叉车在高速下承担重物的路径遵循方法,其中考虑了车辆稳定性,安全性,打滑和舒适性等方面。本文首先介绍了一种为非完整轮式移动机器人生成双连续曲率(DCC)路径的方法,这是所提出的运动学控制器的基础。运动控制器基于“慢进”和“快出”策略生成速度曲线,并在闭环中重新计算DCC路径的曲率曲线。动态控制器确定减速度和曲率的最大值,以及有界的锐度,从而可以保证瞬时的车辆稳定性条件不会发生横向和正面倾翻。相对于全动态控制器,所提出的方法的优点之一是它不需要为建模而估计动态参数,这通常是一项艰巨的任务。之后,将提出的运动学动态控制器与经典的运动学控制器(如Pure-Pursuit)进行比较。为此,在我们的混合控制结构中,我们刚刚用Pure-Pursuit代替了所提出的运动控制器。已分析了稳定时间,超调量,安全性和舒适性等多个指标。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号