首页 /研究 /Hybrid Time-Energy Optimal Trajectory Planning for Robot Manipulators With Path and Uniform Velocity Constraints
SWARM

Hybrid Time-Energy Optimal Trajectory Planning for Robot Manipulators With Path and Uniform Velocity Constraints

Wenchuang Sang, Ning Sun, Chenglin Zhang, Zehao Qiu, Yongchun Fang

发表年份
2022
引用次数
8

摘要

For robot manipulators executing specified tasks along predefined paths (for example, grinding, welding, and spraying), it is usually desired that the end effector possesses a uniform linear velocity distribution without violating robot joint constraints. In addition, the time-energy indicator is minimized during the motion. Based on the path parameterization method, this paper presents a pseudo acceleration allocation method which is continuous of the path jerk. Then the particle swarm optimization algorithm with inequality constraints is utilized to derive the best trajectory parameters to achieve the optimality of time and energy consumption. At last, the effectiveness of the proposed time-energy trajectory planning method is verified through numerical simulations.

关键词

JerkControl theory (sociology)TrajectoryAccelerationMotion planningRobotPath (computing)Computer scienceParticle swarm optimizationEnergy (signal processing)

相关论文

查看 SWARM 分类全部论文