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Development of Kalman Filter based two-port Body Force Observer for the Flexible Joint: Design and Experiments

机译:基于Kalman滤波器的基于柔性关节的Kalman滤波器的开发:设计和实验

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One of the main reasons for using a joint torque sensor in a robot is to measure body forces acting on the system. Especially, the motor actuating torque and the external link torque are important for a flexible joint control. However, it is difficult to measure or estimate those two torques simultaneously with a single joint torque sensor only due to the lack of information. In this paper, Kalman Filter based two-port Body Force OBserver (KF 2-port BFOB) was proposed to estimate two output torques from the motor-side port and the link-side port simultaneously using the two-port system dynamics, the joint angle and the sensor torque from the joint torque sensor based on the Kalman filter. The basic idea of KF 2-port BFOB is illustrated and its performance is verified by implementing the algorithm with disturbance observer (DOB) in the motor actuated one-DOF flexible joint robot. The experiments are executed in the planar situation (under the gravity-free condition) and in the vertical situation (under the gravity condition) respectively to verify the performance of KF 2-port BFOB. The results show something with conclusion.
机译:一个主要的原因在机器人使用关节扭矩传感器是测量作用在系统上的身体的力。尤其是,电动机驱动转矩和外部链路扭矩是用于柔性关节控制重要。然而,这是难以测量或与单个关节扭矩传感器同时估计这两个扭矩仅由于缺少的信息。在本文中,基于卡尔曼滤波器的二端口车身力观测器(KF 2端口BFOB)提出了一种用于估计从所述马达侧端口两个输出力矩,并且同时使用两个端口系统动力学链路侧端口,联合角度以及基于卡尔曼滤波器的关节扭矩传感器的扭矩传感器。 KF 2端口BFOB的基本思想被示出,其性能是通过执行与在电动机干扰观测器(DOB)算法验证致动单DOF柔性关节机器人。实验是在(自由重力条件下),在平面的情况和在垂直情况执行(在重力条件下)分别验证KF 2端口BFOB的性能。结果表明,与结论的东西。

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