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基于距離誤差的機(jī)器人參數(shù)辨識(shí)模型與冗余性分析
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國家自然科學(xué)基金項(xiàng)目(51505235)和江蘇省自然科學(xué)基金青年項(xiàng)目(BK20150844)


Parameter Calibration Model and Redundancy Analysis of Robot Based on Distance Error
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    為避免機(jī)器人運(yùn)動(dòng)學(xué)參數(shù)辨識(shí)過程中,測量坐標(biāo)系與機(jī)器人基坐標(biāo)系之間繁瑣的坐標(biāo)變換,,首先利用關(guān)節(jié)旋量的空間幾何特性,,提出了基于伴隨變換的距離誤差模型,。其次,,針對距離誤差模型中可辨識(shí)參數(shù)的冗余性,,通過辨識(shí)雅可比矩陣的零空間分析,,確定了可辨識(shí)參數(shù)的數(shù)目與誤差測量方式之間的關(guān)系,。確定了繞對應(yīng)關(guān)節(jié)旋轉(zhuǎn)的測量方式和相對初始位形的測量方式下可辨識(shí)參數(shù)的數(shù)目,。最后,,對KUKA youBot機(jī)器人的運(yùn)動(dòng)學(xué)參數(shù)辨識(shí)進(jìn)行了實(shí)驗(yàn)研究,實(shí)驗(yàn)結(jié)果驗(yàn)證了距離誤差模型的有效性和參數(shù)冗余性分析的正確性,。

    Abstract:

    In kinematic calibration of a serial manipulator, to avoid the complex process and determine the relation between measurement coordinates and robot base coordinates when using pose error, a distanceerror model was proposed, which placed its base on the geometric property of joint screw and error compensation scheme of adjoint transform. Comparing with other distanceerror models such as DH model and MDH model, the proposed model can guarantee the geometric constraints on the joint screw to be naturally satisfied. Furthermore, the physical meanings of the kinematic parameters involved in this model were explicit. As a result, it was relatively easy to evaluate the influence of each kinematic parameter on the distance errors. To enhance the robustness of the model, the kinematic parameters redundancy was studied by investigating the null space of the Jacobian matrix. It was found that the number of independent parameters was determined by the measurement method used to measure the distance errors. Specifically, let r be the number of revolute joints, then, the maximum number of the calibrated parameters was 4r-2, and the number became 2r and 3r-1 when measuring the errors by rotating the corresponding joint and taking the initial configuration as the reference, respectively. In order to verify the effectiveness of the proposed model and the correctness of the redundancy analysis, calibration experiments were performed on KUKA youBot with five degrees of freedom. It was found that the result about calibrated parameters obtained from the theoretic analysis was the same as that of experiment. Meanwhile, the mean distance error was decreased by 116 times after calibration than before calibration. Therefore, the kinematic accuracy of the robot can be greatly improved by the proposed distanceerror model.

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申景金,郭家楨,MASOUD Kalantari.基于距離誤差的機(jī)器人參數(shù)辨識(shí)模型與冗余性分析[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2018,49(11):372-378. SHEN Jingjin, GUO Jiazhen, MASOUD Kalantari. Parameter Calibration Model and Redundancy Analysis of Robot Based on Distance Error[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(11):372-378.

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  • 收稿日期:2018-05-10
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  • 在線發(fā)布日期: 2018-11-10
  • 出版日期: 2018-11-10
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