Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird Algorithm

Aiming at the current stage of inverse kinematics solving methods for multi-degree-of-freedom manipulators, most of which have the problems of low solving accuracy and poor generalization, an artificial evolved hummingbird algorithm (AEHA) was proposed for inverse kinematics solving of manipulators....

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Main Authors: Wang Junru, Qin Pengfei, Sun Guangbin
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2024-12-01
Series:Jixie chuandong
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Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.12.009
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author Wang Junru
Qin Pengfei
Sun Guangbin
author_facet Wang Junru
Qin Pengfei
Sun Guangbin
author_sort Wang Junru
collection DOAJ
description Aiming at the current stage of inverse kinematics solving methods for multi-degree-of-freedom manipulators, most of which have the problems of low solving accuracy and poor generalization, an artificial evolved hummingbird algorithm (AEHA) was proposed for inverse kinematics solving of manipulators. Taking the six-degree-of-freedom manipulator as the research object, a nonlinear equation system of its inverse kinematics was established; taking the position error of the end of the manipulator as the optimization objective, the fitness function was constructed by combining with the energy loss, so as to transform the inverse kinematics problem into the optimization problem of the objective function, and the proposed algorithm was used to solve the problem. The artificial hummingbird evolutionary algorithm improved the ability of the algorithm to get rid of the local optimum by introducing the Sobol sequence and the Levy flight strategy; the differential evolution strategy was introduced to realize the cross-evolution between individuals to avoid the premature convergence. Then, the proposed algorithm was verified that it had the good convergence accuracy by benchmark function test experiments. Finally, the inverse kinematics solving simulation was carried out on a six-axis manipulator. The results show that the artificial evolution hummingbird algorithm is better than the comparison algorithm in terms of solving accuracy and stability, and the solving accuracy can reach 10<sup>-9</sup> mm, which can be applied to the inverse kinematics solving of multi-degree-of-freedom manipulators.
format Article
id doaj-art-67227e298e864fc2b75f34fbbaa19e75
institution Kabale University
issn 1004-2539
language zho
publishDate 2024-12-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-67227e298e864fc2b75f34fbbaa19e752025-01-10T15:02:23ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392024-12-0148596678918977Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird AlgorithmWang JunruQin PengfeiSun GuangbinAiming at the current stage of inverse kinematics solving methods for multi-degree-of-freedom manipulators, most of which have the problems of low solving accuracy and poor generalization, an artificial evolved hummingbird algorithm (AEHA) was proposed for inverse kinematics solving of manipulators. Taking the six-degree-of-freedom manipulator as the research object, a nonlinear equation system of its inverse kinematics was established; taking the position error of the end of the manipulator as the optimization objective, the fitness function was constructed by combining with the energy loss, so as to transform the inverse kinematics problem into the optimization problem of the objective function, and the proposed algorithm was used to solve the problem. The artificial hummingbird evolutionary algorithm improved the ability of the algorithm to get rid of the local optimum by introducing the Sobol sequence and the Levy flight strategy; the differential evolution strategy was introduced to realize the cross-evolution between individuals to avoid the premature convergence. Then, the proposed algorithm was verified that it had the good convergence accuracy by benchmark function test experiments. Finally, the inverse kinematics solving simulation was carried out on a six-axis manipulator. The results show that the artificial evolution hummingbird algorithm is better than the comparison algorithm in terms of solving accuracy and stability, and the solving accuracy can reach 10<sup>-9</sup> mm, which can be applied to the inverse kinematics solving of multi-degree-of-freedom manipulators.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.12.009ManipulatorArtificial evolved hummingbird algorithmSobol sequenceLevy flight strategyDifferential evolution strategy
spellingShingle Wang Junru
Qin Pengfei
Sun Guangbin
Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird Algorithm
Jixie chuandong
Manipulator
Artificial evolved hummingbird algorithm
Sobol sequence
Levy flight strategy
Differential evolution strategy
title Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird Algorithm
title_full Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird Algorithm
title_fullStr Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird Algorithm
title_full_unstemmed Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird Algorithm
title_short Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird Algorithm
title_sort inverse kinematics solution for manipulators based on the artificial evolved hummingbird algorithm
topic Manipulator
Artificial evolved hummingbird algorithm
Sobol sequence
Levy flight strategy
Differential evolution strategy
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.12.009
work_keys_str_mv AT wangjunru inversekinematicssolutionformanipulatorsbasedontheartificialevolvedhummingbirdalgorithm
AT qinpengfei inversekinematicssolutionformanipulatorsbasedontheartificialevolvedhummingbirdalgorithm
AT sunguangbin inversekinematicssolutionformanipulatorsbasedontheartificialevolvedhummingbirdalgorithm