Trajectory Tracking of Wheeled Soccer Robots Based on Model Predictive Control

Ming Xu, Bo Liu, Jun Zhou, Zelin Zhou, Zhenjie Weng
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引用次数: 1

Abstract

This paper addresses the trajectory tracking problem for soccer robots which can be simplified as two-wheeled robots. The kinematics analysis of the soccer robot is performed and a kinematics model is established. Due to the under-actuation of the robot and constraints of both the field and the soccer robot itself, Model Predictive Control (MPC) is applied in trajectory tracking control. The MPC strategy can be transformed to a constrained quadratic programming (QP) problem and the optimal control sequences for trajectory tracking is obtained by solving the QP problem online. Simulation experiments are designed to verify the control performance of the MPC controller.
基于模型预测控制的轮式足球机器人轨迹跟踪
本文研究了可简化为两轮机器人的足球机器人的轨迹跟踪问题。对足球机器人进行了运动学分析,建立了运动学模型。由于足球机器人的欠驱动以及场地和足球机器人本身的约束,将模型预测控制(MPC)应用于轨迹跟踪控制。将MPC策略转化为约束二次规划(QP)问题,通过在线求解约束二次规划问题得到轨迹跟踪的最优控制序列。设计了仿真实验来验证MPC控制器的控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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