PR-MPC for NAO H21 Humanoid Robot: Capture Point Approach

A. Feizi, Mohammad Haddad Zarif, M. Nazari, S. Varedi-Koulaei
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Abstract

The main target of this paper is to present a Push Recovery (PR) controller for the NAO H21 robot using Model Predictive Control (MPC) method. In order to compensate the applied push the hip strategy, the ankle strategy, the stepping strategy, and the upper-limb rotation strategy have been used. For balance recovery, the Capture Point (CP) position should be guided to the preferred position. For this purpose, the modulation of the Zero Moment Point (ZMP) position and the Centroidal Moment Pivot (CMP) position should be done. Hence, the control of the CP is done using the MPC. Two situations are considered: until the CP position is out of the support polygon the CMP modulation is used and until the CP position is into it the ZMP modulating is used. This strategy is executed on the NAO H21 in dealing with different pushes successfully.
NAO H21人形机器人的PR-MPC:捕获点方法
本文的主要目标是利用模型预测控制(MPC)方法为NAO H21机器人设计一种推力恢复(PR)控制器。为了弥补推髋策略的不足,采用了踝关节策略、步进策略和上肢旋转策略。为了恢复平衡,应将捕获点(CP)位置引导到首选位置。为此,应调制零力矩点(ZMP)位置和质心力矩枢轴(CMP)位置。因此,CP的控制是使用MPC完成的。考虑两种情况:直到CP位置超出支持多边形时,才使用CMP调制;直到CP位置进入支持多边形时,才使用ZMP调制。该策略在NAO H21上成功执行,处理了不同的推送。
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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