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QUINTIC POLYNOMIAL TRAJECTORY PLANNING METHOD FOR INDUSTRIAL ROBOT

机译:工业机器人的五项多项式轨迹规划方法

摘要

Disclosed is a quintic polynomial trajectory planning method for an industrial robot. The method fits, according to start-end displacement, velocity and acceleration information of a trajectory, interpolation time of quintic polynomial trajectory planning using a velocity trend of s-curve trajectory planning, thereby further determining a quintic polynomial trajectory planning model. The proposed quintic polynomial planning method of the present invention determines a planning model based on the velocity running trend of the s-curve trajectory planning. The method can solve the problem in which quintic polynomial curve shapes are not fixed and are prone to twisting, thereby ensuring that velocity change during a planning process is monotonic and that no substantial convexity or reverse conditions occur, and ensuring that the planned trajectory can meet inherent motion parameter limits of the robot at all times from a start point to an end point of the trajectory. In addition, compared to commonly used trapezoidal planning and s-curve planning, the model planning curve is smoother and the trajectory running process is steadier.
机译:公开了一种用于工业机器人的五次多项式轨迹规划方法。该方法根据轨迹的始端位移,速度和加速度信息,利用s曲线轨迹规划的速度趋势拟合五次多项式轨迹规划的插值时间,从而进一步确定五次多项式轨迹规划模型。本发明提出的五次多项式规划方法基于s曲线轨迹规划的速度运行趋势确定规划模型。该方法可以解决五次多项式曲线形状不固定且易于扭曲的问题,从而确保规划过程中的速度变化是单调的,并且不会出现实质性的凸度或逆向条件,并确保规划的轨迹能够满足从轨迹的起点到终点,机器人始终固有的运动参数极限。此外,与常用的梯形规划和S曲线规划相比,模型规划曲线更平滑,轨迹运行过程更稳定。

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