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DIDIM-CLIE method for dynamic parameter identification of flexible joint robots

机译:柔性关节机器人动态参数辨识的DIDIM-CLIE方法

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This paper deals with a new CLIE (Closed Loop Input Error) method for dynamic identification of flexible joint robots. This is a straightforward extension of the DIDIM (Direct and Inverse Dynamic Identification Models) method from rigid robots to flexible joint robots. DIDIM is a fast closed loop input error method which minimizes the quadratic error between the actual motor force/torque (the control input) and the simulated one. This method which does need neither joint position, nor velocity nor acceleration is particularly attractive to identify flexible manipulators where data of flexible degree of freedom are not available at all. This paper shows how to easily choose good initial values based on mechanical design of joint transmission to apply DIDIM method to flexible joint manipulators. This is a dramatic improvement of our former three-step method which allows a one-step procedure with faster convergence thanks to the clever initialization. An experimental validation on a flexible joint robot and a comparison with the previous three-step procedure shows the effectiveness of the new method.
机译:本文涉及一种新的CLIE(闭环输入误差)方法,用于灵活接头机器人的动态识别。这是从刚性机器人到柔性关节机器人的DIDIM(直接和逆动态识别模型)方法的直接扩展。 DIDIM是一种快速闭环输入误差方法,最小化实际电机力/扭矩(控制输入)和模拟件之间的二次误差。这种方法既不需要关节位置,也不需要速度也不是加速度特别吸引人,以识别灵活的操纵器,其中根本无法获得灵活的自由度数据。本文展示了如何根据联合传输的机械设计轻松选择良好的初始值,将DIDIM方法应用于柔性联合机械手。这是我们以前的三步方法的戏剧性改进,允许通过巧妙的初始化来实现更快的融合程序的一步程。对柔性关节机器人的实验验证和与前三步程序的比较显示了新方法的有效性。

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