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Digital Hardware Realization of Forward and Inverse Kinematics for a Five-Axis Articulated Robot Arm

机译:五轴关节机器人手臂正反运动学的数字硬件实现

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When robot arm performs a motion control, it needs to calculate a complicated algorithm of forward and inverse kinematics which consumes much CPU time and certainty slows down the motion speed of robot arm. Therefore, to solve this issue, the development of a hardware realization of forward and inverse kinematics for an articulated robot arm is investigated. In this paper, the formulation of the forward and inverse kinematics for a five-axis articulated robot arm is derived firstly. Then, the computations algorithm and its hardware implementation are described. Further, very high speed integrated circuits hardware description language (VHDL) is applied to describe the overall hardware behavior of forward and inverse kinematics. Additionally, finite state machine (FSM) is applied for reducing the hardware resource usage. Finally, for verifying the correctness of forward and inverse kinematics for the five-axis articulated robot arm, a cosimulation work is constructed by ModelSim and Simulink. The hardware of the forward and inverse kinematics is run by ModelSim and a test bench which generates stimulus to ModelSim and displays the output response is taken in Simulink. Under this design, the forward and inverse kinematics algorithms can be completed within one microsecond.
机译:当机器人手臂执行运动控制时,它需要计算复杂的正向和逆向运动学算法,这会占用大量CPU时间,并且确定性会降低机器人手臂的运动速度。因此,为了解决这个问题,研究了铰接机械臂的正向和反向运动学的硬件实现的开发。本文首先推导了五轴关节机器人手臂的正反运动学公式。然后,描述了计算算法及其硬件实现。此外,超高速集成电路硬件描述语言(VHDL)用于描述正向运动学和逆向运动学的整体硬件行为。此外,有限状态机(FSM)用于减少硬件资源的使用。最后,为了验证五轴关节机器人手臂的正向运动学和逆向运动学的正确性,由ModelSim和Simulink构建了一个协同仿真工作。正向运动学和逆向运动学的硬件由ModelSim运行,而一个测试台则在Simulink中获取对ModelSim产生激励并显示输出响应的功能。在这种设计下,正向和反向运动学算法可以在一毫秒内完成。

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