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挖掘机时间最优与脉动最优轨迹规划

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为了在提高挖掘机工作效率的同时减小各个关节的振动,提出了一种使挖掘机关节运行时间和关节脉动达到某种综合最优的轨迹规划方法,在同时考虑挖掘机动臂、斗杆、铲斗的运动学约束以及动作时间约束条件的前提下,采用五次非均匀B样条曲线对离散序列点进行插值,然后运用自适应粒子群优化算法(ASPO)对目标函数进行优化求解得到一条动作时间较短且脉动连续关节轨迹,最后对优化后得到的关节轨迹进行仿真实验,结果表明,该方法最终可以得到比较理想的运动轨迹,从而验证了该方法的有效性.
Time Optimal and Pulsation Optimal Trajectory Planning of Excavator
In order to improve the efficiency of the excavator and reduce the vibration of each joint,a trajectory planning method is proposed to make the joint running time and joint pulsation of the excavator reach some comprehensive optimization.Under the premise of considering the kinematic constraints and action time constraints of the boom,stick and bucket of the excavator,the quintic non-uniform B-spline curve is used to interpolation the discrete sequence points,and then the objective function is opti-mized by using adaptive particle swarm optimization(ASPO)algorithm to get a short action time and pulsating continuous joint trajectory.Finally,the simulation experiment of the optimized joint trajectory is carried out.The results show that the method can obtain ideal motion trajectory,which proves that the method is effective.

ExcavatorTrajectory PlanningNon uniform B-Spline CurveAdaptive Particle Swarm

孙志毅、刘松、王银、李虹

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太原科技大学电子信息工程学院,山西 太原 030024

挖掘机 轨迹规划 非均匀B样条曲线 自适应粒子群

山西省重点研发计划

201903D121130

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
年,卷(期):2024.395(1)
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