首页> 外文会议>Chinese Control and Decision Conference >Time-optimal Trajectory Planning of Dulcimer Music Robot Based on PSO Algorithm
【24h】

Time-optimal Trajectory Planning of Dulcimer Music Robot Based on PSO Algorithm

机译:基于PSO算法的扬琴音乐机器人时间最优轨迹规划。

获取原文

摘要

For a dulcimer music robot that strikes a dulcimer, fast and high-frequency striking is a key requirement, so the time optimization of the trajectory planning of the robot arm is the first problem to be solved in motion control. In this paper, the kinematics modeling and solving are firstly completed by using the D-H parameter method. Then the steps of trajectory planning by interpolation and the application of basic PSO algorithm are introduced. As for the deficiency of only velocity constraint, we propose an improve PSO algorithm considering complete kinematic constraints of all joints, which can ensure that the optimal trajectory planned is reasonable. Finally, the simulation experiments of time optimization and trajectory planning are carried out in MATLAB. Experiments show that after optimizing the interpolation time by the improved PSO algorithm under the kinematic constraints, the total time of trajectory planning of the robot is greatly reduced by 74.35%; and the planned time-optimal trajectory curves are continuous and smooth, which meets the requirements of motion stability of the manipulator. As a result, the efficiency of the improved PSO algorithm applied to time-optimal trajectory planning of robot is verified.
机译:对于敲击扬琴的扬琴音乐机器人来说,快速且高频的敲击是关键要求,因此,机械臂轨迹规划的时间优化是运动控制中要解决的第一个问题。本文首先采用D-H参数法完成了运动学建模和求解。然后介绍了插值法进行轨迹规划的步骤以及基本的PSO算法的应用。针对仅速度约束的不足,提出一种改进的PSO算法,考虑所有关节的完整运动学约束,可以保证最优的轨迹规划是合理的。最后,在MATLAB中进行了时间优化和轨迹规划的仿真实验。实验表明,在运动学约束下,采用改进的PSO算法优化插补时间后,机器人的轨迹规划总时间大大减少了74.35%。计划的时间最优轨迹曲线是连续且平滑的,满足机械手运动稳定性的要求。结果,验证了改进的PSO算法应用于机器人时间最优轨迹规划的效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号