首页|基于梯度下降的串联机械臂逆运动学求解

基于梯度下降的串联机械臂逆运动学求解

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将梯度下降法用于机械臂的逆运动学求解,解决了不同自由度串联机械臂逆运动学求解的问题;将求解过程中间解利用起来,在保证了系统性能的同时,完成了轨迹规划任务;针对使用梯度下降得到的轨迹较差的问题,采用改进的梯度下降对轨迹进行了优化.用OpenGL和C++搭建了仿真平台,对六自由度和七自由度机械臂进行了仿真,算法收敛精度可达到0.01 mm,实验结果表明将梯度下降用于机械臂逆运动学求解具有实用性.
Solving the Inverse Kinematics of A Series Robotic Arm Based on Gradient Descent
The gradient descent method was applied to solve the inverse kinematics of a robotic arm,which solved the problem of solving the inverse kinematics of a series of robotic arms with different degrees of freedom;By utilizing the intermediate solutions during the solving process,the trajectory planning task was completed while ensuring system performance;In response to the problem of poor trajectory obtained through gradient descent,an improved gradient descent was adopted to optimize the trajectory. We built a simulation platform using OpenGL and C++to simulate six degree of freedom and seven degree of free-dom robotic arms. The convergence accuracy of the algorithm can reach 0.01 mm. The experimental results show that using gradient descent for solving inverse kinematics of robotic arms is practical.

mechanical armgradient descentforward inverse kinematicstrajectory planning

郑涧、史汉卿、张金柱、王涛、黄庆学

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太原理工大学机械与运载工程学院,太原 030024

太原理工大学先进金属复合材料成形技术与装备教育部工程研究中心,太原 030024

海安太原理工大学先进制造与智能装备产业研究院,海安 226601

机械臂 梯度下降法 正逆运动学 轨迹规划

2024

组合机床与自动化加工技术
大连组合机床研究所 中国机械工程学会生产工程分会

组合机床与自动化加工技术

CSTPCD北大核心
影响因子:0.671
ISSN:1001-2265
年,卷(期):2024.(11)