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Fpga Implementation Of Higher Degree Polynomial Acceleration Profilesfor Peak Jerk Reduction In Servomotors

机译:Fpga实现高阶多项式加速曲线以降低伺服电动机的峰值冲击

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Acceleration profile generation for jerk limitation is a major issue in automated industrial applications like computer numerical control (CNC) machinery and robotics. The automation machinery dynamics should be kept as smooth as possible with suitable controllers where trajectory precision ensures quality while smoothness decreases machinery stress. During the operation of commercially available CNC and robotics controllers, small discontinuities on the dynamics are generated due to the controller position profiler which is generally based on a trapezoidal velocity profile. These discontinuities can produce undesirable high-frequency harmonics on the position reference which consequentially can excite the natural frequencies of the mechanical structure and servomotors. Previous works have developed jerk limited trajectories with higher degree polynomial-based profiles, but lack one or both of computer efficiency for on-line operation and low-cost hardware implementation. The present work shows a low cost, computationally efficient, on-line hardware implementation of a high-degree polynomial-based profile generator with limited jerk dynamics for CNC machines and robotics applications to improve the machining process. The novelty of the paper is the development of a multiplier-free recursive algorithm for computationally efficient polynomial evaluation in profile generation and a low-cost implementation of the digital structure in field programmable gate array (FPGA). Two experimental setups were prepared in order to test the polynomial profile generator: the first one with the servomotor at no load and the second one for the servomotor driving a CNC milling machine axis. From experimental results it is shown that higher degree polynomial profiles, compared to the standard trapezoidal speed profile improve the system dynamics by reducing peak jerk in more than one order of magnitude while precision is maintained the same and on-line operation is guaranteed.
机译:用于加速度限制的加速曲线生成是自动化工业应用(例如计算机数控(CNC)机械和机器人技术)中的一个主要问题。自动化机械动力学应使用合适的控制器保持尽可能的平稳,其中轨迹精度可确保质量,而平滑度可降低机械应力。在市售的CNC和机器人控制器的操作过程中,由于控制器位置轮廓仪通常基于梯形速度轮廓,因此在动力学上会产生小的不连续性。这些不连续会在位置参考上产生不希望的高频谐波,从而会激发机械结构和伺服电机的固有频率。先前的工作开发了具有较高阶的基于多项式的配置文件的受冲击的有限轨迹,但是缺少用于在线操作的计算机效率和低成本硬件实现中的一种或两种。目前的工作表明,基于高次多项式的轮廓生成器的低成本,计算效率高,在线硬件实现方式具有有限的急动动力学特性,可用于CNC机器和机器人技术,以改善加工过程。本文的新颖之处在于开发了一种无乘数递归算法,用于在配置文件生成中进行高效计算的多项式评估,以及在现场可编程门阵列(FPGA)中数字结构的低成本实现。为了测试多项式轮廓发生器,准备了两个实验装置:第一个用于伺服电动机空载的第二个装置,第二个用于驱动CNC铣床轴的伺服电动机的装置。从实验结果可以看出,与标准梯形速度分布图相比,更高阶的多项式分布图可通过将峰值跳动降低一个以上数量级来改善系统动力学,同时保持相同的精度并确保在线操作。

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