类梯形加减速算法在服务机器人中的应用研究
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作者单位:

1.西昌学院,信息技术学院,四川 西昌 615000;2.西昌学院,机械与电气工程学院,四川 西昌 615000

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基金项目:

四川省科技计划项目(2021YJ0357);凉山州重点研发项目(21ZDYF0209);西昌学院“两高”人才项目(97510103)。


Research on Application of Trapezoidal Like Acceleration and Deceleration Algorithm In Service Robot
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Affiliation:

1.College of Informat;2.ion Technology, Academy of Mechanical and Electrical Engineering, Xichang University,Xichang Sichuan 615000,China

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    摘要:

    现有梯形加减速算法在机床、液压等重型设备上得到广泛应用,但其初末速度均为零,不满足服务机器人的需求。为获得服务机器人的算法,用数学推导结合实验的方法,提出了初速度不为零的柔性类梯形加减速算法,并根据不同运行距离,规划了四种运动策略,分析了切换不容策略的条件;为验证算法可行性,在自行搭建的伺服试验台上进行了测试。结果表明:类梯形加减速算法可中断运动规划,在初速度不为零的情况下重作运动规划。此算法满足可满足机器人不同运动状态下柔性加减速要求。

    Abstract:

    The existing trapezoidal acceleration and deceleration calculation method has been widely used in machine tools, hydraulic and other heavy equipment, but its initial and final speed is zero, which does not meet the needs of service robots. In this paper, a method of acceleration and deceleration of flexible class trapezoid with non-zero initial velocity is proposed by means of mathematical derivation and experiment. Four kinds of motion strategies are planned according to different running distances, and the conditions of switching non-tolerance strategies are analyzed. In order to verify the feasibility of the algorithm, the test was carried out on the servo test bench. The results show that motion planning can be interrupted by the trapezoidal acceleration and deceleration method, and motion planning can be redone when the initial velocity is not zero. The algorithm in this paper can meet the requirements of flexible acceleration and deceleration of robots under different motion states.

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杜正聪,黎安庆,李建雄,牟圆圆,罗佳源.类梯形加减速算法在服务机器人中的应用研究[J].西昌学院学报(自然科学版),2022,36(4):97-102.

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  • 收稿日期:2022-08-11
  • 最后修改日期:2022-08-28
  • 录用日期:2022-09-16
  • 在线发布日期: 2023-01-13