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Fuzzy Posture Control for Biped Walking Robot Based on Force Sensor for ZMP

机译:基于ZMP力传感器的基于力传感器的Biped行走机器人模糊姿势控制

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In these days, biped walking robots are concentrated on a service robot. Biped walking robots are suitable in a human life work such as walking up and down stairs and crossing a threshold because they have two leg mechanisms like a human. However, it is very difficult subject that robot maintains valance in walking. One way to solve this problem is using an accurate dynamic model of biped robot in 2-Dimension and 3-Dimension. Another method to solve this problem is modeling biped robot simply and controlling the robot with an adaptive control, intelligent control and robust control algorithm and so on. ZMP (zero moment point) concept was invented in this field. In this paper, ZMP trajectory following for biped walking robot based on force sensors and posture control using fuzzy algorithm are studied. The posture control of the biped robot is performed by ZMP information in static standing. Posture of biped walking robot is controlled by fuzzy algorithm referring to the obtained ZMP trajectory information. The result of this study is confirmed by experiment to apply fuzzy posture control against disturbance and to keep valance on a slope.
机译:在这些日子里,Biped行走机器人集中在服务机器人上。 Biped Walking Robots适合人类生活工作,如走上楼梯,并穿过门槛,因为它们有两个像人类的腿机制。然而,机器人在步行方面保持帷幔是非常困难的。解决此问题的一种方法是使用2维和3维度的Biped机器人的准确动态模型。解决此问题的另一种方法是简单地并控制具有自适应控制,智能控制和鲁棒控制算法的机器人的机器人。 ZMP(零时刻点)概念在该字段中发明。本文研究了基于力传感器和使用模糊算法的基于力传感器和姿势控制的双面行走机器人的ZMP轨迹。通过静态站的ZMP信息执行双面机器人的姿势控制。双面行走机器人的姿势由指导算法控制所获得的ZMP轨迹信息。通过实验确认了本研究的结果,以应用模糊姿势控制扰动并保持坡度倾向。

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