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A Discretion Algorithm of S-curve Acceleration and Deceleration

机译:S曲线加减速的离散算法

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摘要

A new method of sampled-data S-curve acceleration/deceleration for industrial robots and CNC machine tools was put forward, which can deal with the low velocity zone called "tail" in a deceleration zone. The equations of acceleration and deceleration were detailed, which improved the productivity by avoiding the calculation of the deceleration point at every sampled time. According to the distance of the trajectory, the trajectory can be divided into normal block, short block I type and short block II type. Aiming at each block, the equations of distance, acceleration, velocity and Jerk were given and the discrete equation of each method was presented. We have implemented our algorithm in both simulation environment and real CNC systems and conducted a series of experiments. The experimental results demonstrate that the proposed method is effective.
机译:提出了一种用于工业机器人和数控机床的采样数据S曲线加减速的新方法,该方法可以处理减速区域中称为“尾部”的低速区域。详细介绍了加速和减速方程,通过避免在每个采样时间计算减速点来提高生产率。根据轨迹的距离,可以将轨迹分为普通块,短块I型和短块II型。针对每个程序段,给出了距离,加速度,速度和加速度率方程,并给出了每种方法的离散方程。我们已经在仿真环境和实际的CNC系统中实现了我们的算法,并进行了一系列实验。实验结果表明,该方法是有效的。

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