Research of Inverse Solution of Manipulator based on Beetle Antennae Search and Differential Evolution

Xiaolong Shen; Jifang Wang

doi:10.16578/j.issn.1004.2539.2022.07.004

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Research of Inverse Solution of Manipulator based on Beetle Antennae Search and Differential Evolution

Theory·Reserach | 更新时间：2022-09-24

- Research of Inverse Solution of Manipulator based on Beetle Antennae Search and Differential Evolution
- Journal of Mechanical Transmission Vol. 46, Issue 7, Pages: 24-30(2022)
- 作者机构：
  
  1.北京信息科技大学机电工程学院，北京 100192
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2022.07.004
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沈孝龙,王吉芳.基于天牛须搜索与差分进化的机械臂逆解研究[J].机械传动,2022,46(07):24-30.

Shen Xiaolong,Wang Jifang.Research of Inverse Solution of Manipulator based on Beetle Antennae Search and Differential Evolution[J].Journal of Mechanical Transmission,2022,46(07):24-30.
沈孝龙,王吉芳.基于天牛须搜索与差分进化的机械臂逆解研究[J].机械传动,2022,46(07):24-30. DOI： 10.16578/j.issn.1004.2539.2022.07.004.

Shen Xiaolong,Wang Jifang.Research of Inverse Solution of Manipulator based on Beetle Antennae Search and Differential Evolution[J].Journal of Mechanical Transmission,2022,46(07):24-30. DOI： 10.16578/j.issn.1004.2539.2022.07.004.

摘要

为简化机械臂逆运动学求解方法与提高解的精度，增强方法的普适性，利用智能优化算法，将运动学逆解变为最优化问题。首先，根据正运动学方程建立末端位姿误差目标函数，结合最佳柔顺性与能耗约束构建适应度函数，使机械臂在满足位姿误差要求时还具有最佳柔顺性与较低能量消耗；为使位置和姿态收敛精度统一并控制进化方向，引入位姿平衡系数与位姿误差调节系数；其次，把个体寻优出色的天牛须搜索与群体优化性能出色的差分进化算法融合，以此提高算法的收敛精度与速度；最后，对6R机械臂与冗余机械臂进行了逆解实验。结果表明，所提算法收敛精度高、速度快、通用性好。

Abstract

In order to simplify the solution method of inverse kinematics of the manipulator， improve the accuracy of the solution， and enhance the universality of the method， the intelligent optimization algorithms are used to turn the inverse kinematic solution into an optimization problem. Firstly， the objective function of the end pose error according to the positive kinematic equation is established， and the best flexibility and energy consumption constraints to construct the fitness function are combined so that the manipulator has the best flexibility and lower energy consumption when meeting the requirements of the pose error； In order to unify the accuracy of position and attitude convergence and control the evolution direction， the pose balance coefficient and the pose error adjustment coefficient are introduced； Then， the individual optimization of the beetle search with excellent performance in group optimization is integrated with the differential evolution algorithm， so as to improve the convergence accuracy and speed of the algorithm； Finally， inverse solution experiments are conducted on the 6R manipulator and the redundant manipulator. The results show that the proposed algorithm has high convergence accuracy， a fast speed and a good versatility.

关键词

冗余机械臂运动学逆解差分进化算法天牛须搜索最佳柔顺准则

Keywords

Redundant manipulatorInverse kinematic solutionDifferential evolution algorithmBeetle antennae searchOptimal compliance criterion

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