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Autonomous Driving of a Mobile Robot Using a Combined Multiple-Shooting and Collocation Method

机译:使用组合的多拍摄和搭配方法自动驾驶移动机器人

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A nonlinear model predictive control (NMPC) approach for steering an autonomous mobile robot is presented. The vehicle dynamics with a counter steering system is described by a nonlinear bicycle model. The NMPC problem is formulated taking into account the obstacles description as inequality constraints which will be updated at each sampling time based on a laser scanner detection. The nonlinear optimal control problem (NOCP) is efficiently solved by a combined multiple-shooting and collocation method. Experimentation results illustrate the viability of our approach for active autonomous steering in avoiding spontaneous obstacles.
机译:提出了一种用于转向自主移动机器人的非线性模型预测控制(NMPC)方法。具有计数器转向系统的车辆动态由非线性自行车模型描述。制定NMPC问题,考虑到障碍物描述作为不等式约束,这将基于激光扫描仪检测在每个采样时间上更新。非线性最佳控制问题(NOCP)通过组合的多拍摄和搭配方法有效地解决。实验结果说明了我们在避免自发障碍时主动自主转向的方法的可行性。

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