多机器人系统NMPFC预测模型分析

Diego S. Azevedo, L. F. Costa, A. Brito, T. Nascimento
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引用次数: 5

摘要

分析了非线性模型预测队形控制器(NMPFC)在全向移动机器人队形控制中的预测模型。该预测模型使用运动学模型来预测大多数的队形项,计算出与障碍物、队内队友、目标、方向、队内位置和控制努力相关的未来队形行为。然而,机器人的队形预测既可以采用动态模型,也可以采用纯运动学模型。因此,本文对平衡机器人的预测模型进行了分析,以期找到一种能使机器人在更短的时间内收敛并使控制器的代价函数最小的平衡机器人预测模型。最后,给出了仿真机器人的实验结果并进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Prediction Models for Multi-robot System NMPFC
This paper analyzes the prediction model of a nonlinear model predictive formation controller (NMPFC) applied to control the formation of a team of omni directional mobile robots. The prediction model calculates future formation behaviors with respect to obstacles, team mates in formation, target, orientation, position in formation and control effort using a kinematic model to predict most of the formation terms. Nevertheless, the prediction of the robots in formation can be done by either dynamic models or pure kinematic models. Therefore, this paper presents an analysis in order to find a balanced robot's prediction model that stimulates the robots the converge in less time and minimizing the controller's cost function. Finally, results of experiments with simulated robots are presented and discussed.
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