具有静态障碍物的全向移动机器人的最优轨迹规划:基于多项式的方法

N. Mohseni, A. Fakharian
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引用次数: 10

摘要

在考虑机器人速度和加速度限制的情况下,提出了一种基于多项式的全向移动机器人最优轨迹规划方法。首先,将最优轨迹规划问题表述为一个最优控制问题,该问题根据约束条件使状态和控制努力的代价函数最小化。为了解决这一最优控制问题,采用了状态参数化方法。实际上,系统的状态变量是用未知系数的多项式时间函数来逼近的。因此,最优控制问题转化为约束优化问题,比原来的最优控制问题简单得多。然后计算多项式系数,使其满足问题的所有要求和约束。仿真结果表明了该方法在不同情况下的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal trajectory planning for an omni-directional mobile robot with static obstacles: a polynomial based approach
This paper presents a polynomial based optimal trajectory planning for an omni-directional mobile robot in presence of static obstacles with considering a limitation on velocity and acceleration of the robot. First, optimal trajectory planning problem is formulated as an optimal control problem which minimize a cost function of states and control efforts respect to constraints of the problem. To solve this optimal control problem, a state parameterization method is used. In fact, state variables of system are approximated by polynomial functions of time with unknown coefficients. Thus optimal control problem converts to a constraint optimization problem which is too easier than original optimal control problem. Then the polynomials coefficients are computed such that satisfy all the problem requirements and constraints. Simulation results show effectiveness of the proposed method under different situations.
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