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应用鲸鱼智能优化算法的钻锚机器人控制定位

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为了解决钻锚机器人控制定位误差大的问题,提出了应用鲸鱼智能优化的钻锚机器人精确控制定位方法.根据钻锚机器人的运动结构,对各个关节运动范围标定,建立钻锚机器人运动数学模型.分析钻锚机器人前移控制和后移控制误差产生原因,计算前移控制和后移控制的距离差值.基于分数阶微积分控制器控制定位误差,利用鲸鱼智能优化方法寻找最佳控制参数,搜索个体和最优解向量,通过空间维度映射迭代优化获得最优控制定位结果,实现精准控制定位.测试结果证明所提方法能够保证钻锚机器人控制误差迭代速度较快,误差较小,可以进一步提升钻锚和挖掘精度.
Accurate Control and Positioning of Anchor Drilling Robot Based on Whale Intelligent Optimization Algorithm
In order to solve the problem of large control and positioning error of anchor drilling robot,a precise control and posi-tioning method of anchor drilling robot based on whale intelligent optimization is proposed.According to the motion structure of the anchor drilling robot,the motion range of each joint is calibrated,and the motion mathematical model of the anchor drilling robot is established.It analyzes the causes of forward and backward control errors of anchor drilling robot,and calculates the dis-tance difference between forward and backward control.Based on the fractional calculus controller to control the positioning er-ror,the whale intelligent optimization method is used to find the optimal control parameters,search the individual and the opti-mal solution vector,and obtain the optimal control positioning results through the iterative optimization of spatial dimension mapping to achieve accurate control positioning.The test results show that the proposed method can ensure that the control error it-eration speed of the anchor drilling robot is fast and the error is small,and can further improve the accuracy of anchor drilling and excavation.

Whale Intelligent OptimizationAnchor Drilling RobotRobotControl PositioningMotion Param-eter ModelControl Error

祝毅鸣、刘鑫

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郑州西亚斯学院,河南 新郑 451150

中南大学商学院,湖南 长沙 410083

鲸鱼智能优化 钻锚机器人 机器人 控制定位 运动参数模型 控制误差

河南省2020年民办普通高等学校学科专业建设资助项目

教办政法[2020]162号

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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