首页> 外文会议>Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on >State estimation and parameter identification of flexible manipulators based on visual sensor and virtual joint model
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State estimation and parameter identification of flexible manipulators based on visual sensor and virtual joint model

机译:基于视觉传感器和虚拟关节模型的柔性机械臂状态估计和参数辨识

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When we control a flexible manipulator based on a dynamic model, we need to estimate the state variables with accuracy. In the case of rigid manipulators, the state variables consist of joint angles and their velocities which are measured easily by encoders, potentiometers, tachometers, and so on. In the case of flexible manipulators, however, the state variables also include elastic deformations and their velocities due to flexibility. Here we focus on visual sensor to measure distributed state variables of flexible manipulators. First, we discuss a distributed state estimation method which uses discrete position information of markers attached on flexible links. Second, when we apply the virtual joint model to flexible manipulators, elastic deformations are expressed by virtual passive joint angles which are lumped. So we have to correspond the real elastic deformations to the virtual joint angles. We also discuss this transformation. Third, when we estimate the lumped state variables by the proposed method, it is possible to identify physical parameters of the dynamic model. Finally, some experiments were carried out to verify the effectiveness of the proposed method.
机译:当我们基于动态模型控制柔性机械手时,我们需要准确估计状态变量。对于刚性机械手,状态变量由关节角度及其速度组成,这些角度可由编码器,电位计,转速表等轻松测量。然而,在柔性操纵器的情况下,状态变量还包括弹性变形及其由于柔性引起的速度。在这里,我们专注于视觉传感器,以测量柔性机械手的分布状态变量。首先,我们讨论一种分布式状态估计方法,该方法使用附着在柔性链接上的标记的离散位置信息。其次,当我们将虚拟关节模型应用于柔性机械手时,弹性变形由虚拟被动关节角度集总表示。因此,我们必须将实际的弹性变形与虚拟的关节角度相对应。我们还将讨论这种转换。第三,当我们通过提出的方法估计集总状态变量时,可以识别动态模型的物理参数。最后,进行了一些实验以验证所提方法的有效性。

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