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首页> 外文期刊>Journal of the Brazilian Society of Mechanical Sciences and Engineering >Screw theory-based mobility analysis and projection-based kinematic modeling of a 3-CRRR parallel manipulator
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Screw theory-based mobility analysis and projection-based kinematic modeling of a 3-CRRR parallel manipulator

机译:基于螺杆理论的3-CRRR并联机械手迁移率分析和基于投影的运动学建模

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Forward kinematics analysis of parallel manipulators requires solving highly complicated nonlinear equations, which deriving a closed-form solution is often a real challenge. Being used in closed loop position control of mechanisms, the forward kinematics solution of parallel manipulators is of great importance. Here, we investigate the mobility, forward kinematics, and inverse kinematics of a previously introduced three-degree-of-freedom spatial parallel manipulator from a new perspective. The manipulator is a 3-CRRR parallel mechanism proposed for object manipulation tasks. The mobility of the mechanism is, first, discussed using screw theory, showing that the robot has only three translational degrees of freedom. Next, the forward kinematics of the robot is analyzed based on a geometric approach. Using this method, which is the main novelty of our article, the spatial representation of the manipulator is transformed to a simpler planar representation by a projection-based interpretation, to reduce the complexity of kinematic equations. Afterward, the position of the end-effector is extracted by some algebraic expressions written based on geometrical properties of the robot. Then, the inverse kinematics of the mechanism is analyzed through the same approach. Finally, the kinematic modeling is verified using numerical and analytical methods. The results show that the obtained kinematic model has high accuracy.
机译:并联机械手的前向运动学分析需要求解高度复杂的非线性方程,而推导闭合式解通常是一个真正的挑战。在机构的闭环位置控制中,并联机械手的前向运动学解决方案非常重要。在这里,我们从一个新的角度研究了之前介绍的三自由度空间并联机械手的移动性、正向运动学和逆向运动学。机械手是为对象操作任务提出的3-CRRR并行机构。首先,使用螺杆理论讨论了该机构的移动性,表明机器人只有三个平移自由度。接下来,基于几何方法分析机器人的前向运动学。使用这种方法,这是我们本文的主要新颖之处,通过基于投影的解释将机械手的空间表示转换为更简单的平面表示,以降低运动学方程的复杂性。之后,通过基于机器人几何属性编写的一些代数表达式提取末端执行器的位置。然后,通过相同的方法分析机构的逆运动学。最后,利用数值和解析方法验证了运动学建模。结果表明,所得到的运动学模型具有较高的精度。

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