基于多传感器集成的双足机器人行走平衡控制

Bin He, Zhipeng Wang, Xiaocheng Tang, Q. Lu
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引用次数: 2

摘要

本文从感觉统合的生物学概念出发,研究了双足机器人的行走平衡控制。提出了一种由轨迹发生器和行走平衡控制器组成的控制系统。倒立摆模型用于生成更自然和节能的两足步态。设计了基于感觉融合的步行平衡控制器,包括卡尔曼滤波和模糊控制器,以保持身体平衡,使机器人沿着期望的参考轨迹行走。利用改进的双足平台Bioloid验证了所提出的平衡控制方法。实验结果验证了所提控制策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Walking balance control for biped robot based on multi-sensor integration
This paper deals with walking balance control of biped robot inspired by biological concept of sensory integration. The control system is proposed with a trajectory generator and a walking balance controller. The inverted pendulum model is used to generate a more natural and energy efficient biped gait. The walking balance controller, which includes Kalman filter and fuzzy controller, is designed based on sensory fusion to keep the body balance and make the robot walking following the desired reference trajectory. A retrofitted biped platform Bioloid is used to validate the proposed balance control method. The experimental results confirm the effectiveness of the proposed control strategy.
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