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机械臂逆运动学模型控制新方法
引用本文:廖锋.机械臂逆运动学模型控制新方法[J].计算机工程与应用,2012,48(12):244-248.
作者姓名:廖锋
作者单位:南京师范大学泰州学院 数学科学与应用学院,江苏 泰州 225300
摘    要:根据机械臂关节轴线方向建立了连杆坐标系,采用Denavit-Hartenberg(D-H)法得到连杆坐标系变换矩阵,通过坐标系变换矩阵得到机械臂正运动学模型,由正运动模型得到机械臂逆运动学模型。该模型是一个非线性约束优化问题。为了求解模型,基于多种群和多变异策略,提出了多变异策略的多种群差分演化算法。多种群策略可以提升个体共享群体信息的能力,多变异模式策略可以提升个体间的差异性,数值试验表明新算法可以有效求解机械臂逆运动学模型。

关 键 词:机械臂  关节  自由度  

New method to solve inverse dynamic model of robot arm
LIAO Feng.New method to solve inverse dynamic model of robot arm[J].Computer Engineering and Applications,2012,48(12):244-248.
Authors:LIAO Feng
Affiliation:College of Mathematic Science and Application, Nanjing Normal University Taizhou College, Taizhou, Jiangsu 225300, China
Abstract:Link bar coordinate systems are established based on axis direction of joint axis;coordinate system transformation matrix is derived according to Denavit-Hartenberg(D-H)notation.Forward kinematics model is set up in the light of coordinate system transformation matrix.Inverse kinematics model is set up based on forward kinematics model at last.The forward kinematics model is a nonlinear constraint optimization problem.For the purpose of sloving inverse kinematics model,new differential evolution algorithm is proposed based on the idea of multi-population and multi-mutation strategy.Multi-population strategy improves the ability of information sharing by individuals,and multi-mutation method promotes the diversity of individuals,and the numerical results indicate that the new algorithm can solve inverse kinematics model efficiently.
Keywords:robot arm  joint  degree of freedom
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