一种具有三个水平轴向气动执行机构的平移并联机械臂用于三维路径跟踪

Chun-Peng Yeh, Lian-Wang Lee, I. Li, H. Chiang
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引用次数: 1

摘要

提出了一种新型的无杆气动驱动的三自由度平移并联机器人(TPM)。所研制的并联机械手由固定底座、移动平台和三组并联运动链组成。另外,采用三个相同的无杆气缸作为机械手的直线执行机构。为了给机械手提供更多的工作空间,rpa被配置成水平位置。通过对并联机构的运动学分析,验证了该并联机构具有三个平移自由度。本文引入几何方法求解驱动关节与运动平台之间的运动关系:首先建立了机械臂各肢体的矢量环闭合方程;通过求解该方程,得到了运动学逆解和正解。对于三自由度TPM的控制,采用了带反馈回路的模糊pid控制器。为了提高气动对象对非线性和不确定性的控制精度,训练了一种反向传播神经网络(BPNN)来实现有效的预补偿。最后,通过实时实验验证了三轴机械手末端执行器的路径跟踪控制。
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A Translational Parallel Manipulator with Three Horizontal-Axial Pneumatic Actuators for 3-D Path Tracking
This paper aims to propose a novel translational parallel manipulator (TPM) with three degrees of freedom (3-DOF), driven by rodless pneumatic actuators (RPA). The developed parallel manipulator is composed of a fixed base frame, a moving platform, and three sets of parallel kinematic chains. In addition, three identical rodless pneumatic cylinders are employed as the linear actuators of the manipulator. To allow more working space for the manipulator, the RPAs are configured into horizontal positions. A mobility analysis of the parallel mechanism verifies the manipulator to possess three translational degrees of freedom. In this study, a geometric method is introduced to solve the kinematic relation between the actuated joints and the moving platform: A vector-loop closure equation is first established for each limb of the manipulator; by solving the equation, solutions for both the inverse and forward kinematics are obtained. For the control of the 3-DOF TPM, a Fuzzy-PID controller with feedback loops is applied. To improve control precision against nonlinearities and uncertainties in the pneumatic plant, a Back-propagation Neural Network (BPNN) is trained to implement effective pre-compensation. Finally, the real-time experiment is conducted to verify the path tracking control of the three-axial manipulator end-effector.
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