SOLVING INVERSE KINEMATICS PROBLEM OF REDUNDANT ROBOT BASED ON IMPROVED FRUIT FLY OPTIMIZTION ALGORITHM

To solve problems of heavy calculation burden and low solution accuracy for redundant robot in inverse kinematics problem,a solution method based on improved fruit fly optimization algorithm(IFOA) was proposed. On the basis of FOA,the evolutionary equation is optimized by adding an improved strategy...

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Main Author: YANG Shuai
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2020-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.04.019
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author YANG Shuai
author_facet YANG Shuai
author_sort YANG Shuai
collection DOAJ
description To solve problems of heavy calculation burden and low solution accuracy for redundant robot in inverse kinematics problem,a solution method based on improved fruit fly optimization algorithm(IFOA) was proposed. On the basis of FOA,the evolutionary equation is optimized by adding an improved strategy of learning worst individuals. The ability of the IFOA to break away from the local optimum and to find the global optimum is greatly enhanced. Experimental results of several typical functions show that IFOA has better global search ability,faster speed,higher accuracy and reliability,compared with FOA. In the application of inverse kinematics problem of the redundant robot,the accuracy,speed and stability were improved effectively,and is thus applicable to solve the inverse kinematics problem of redundant robot.
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spelling doaj.art-436fbf8343224839a4b19793b6ffef4e2023-08-01T07:51:41ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692020-01-014288388930608399SOLVING INVERSE KINEMATICS PROBLEM OF REDUNDANT ROBOT BASED ON IMPROVED FRUIT FLY OPTIMIZTION ALGORITHMYANG ShuaiTo solve problems of heavy calculation burden and low solution accuracy for redundant robot in inverse kinematics problem,a solution method based on improved fruit fly optimization algorithm(IFOA) was proposed. On the basis of FOA,the evolutionary equation is optimized by adding an improved strategy of learning worst individuals. The ability of the IFOA to break away from the local optimum and to find the global optimum is greatly enhanced. Experimental results of several typical functions show that IFOA has better global search ability,faster speed,higher accuracy and reliability,compared with FOA. In the application of inverse kinematics problem of the redundant robot,the accuracy,speed and stability were improved effectively,and is thus applicable to solve the inverse kinematics problem of redundant robot.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.04.019Fruit fly optimization algorithm;Improved strategy;Redundant robot;Inverse kinematics problem
spellingShingle YANG Shuai
SOLVING INVERSE KINEMATICS PROBLEM OF REDUNDANT ROBOT BASED ON IMPROVED FRUIT FLY OPTIMIZTION ALGORITHM
Jixie qiangdu
Fruit fly optimization algorithm;Improved strategy;Redundant robot;Inverse kinematics problem
title SOLVING INVERSE KINEMATICS PROBLEM OF REDUNDANT ROBOT BASED ON IMPROVED FRUIT FLY OPTIMIZTION ALGORITHM
title_full SOLVING INVERSE KINEMATICS PROBLEM OF REDUNDANT ROBOT BASED ON IMPROVED FRUIT FLY OPTIMIZTION ALGORITHM
title_fullStr SOLVING INVERSE KINEMATICS PROBLEM OF REDUNDANT ROBOT BASED ON IMPROVED FRUIT FLY OPTIMIZTION ALGORITHM
title_full_unstemmed SOLVING INVERSE KINEMATICS PROBLEM OF REDUNDANT ROBOT BASED ON IMPROVED FRUIT FLY OPTIMIZTION ALGORITHM
title_short SOLVING INVERSE KINEMATICS PROBLEM OF REDUNDANT ROBOT BASED ON IMPROVED FRUIT FLY OPTIMIZTION ALGORITHM
title_sort solving inverse kinematics problem of redundant robot based on improved fruit fly optimiztion algorithm
topic Fruit fly optimization algorithm;Improved strategy;Redundant robot;Inverse kinematics problem
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.04.019
work_keys_str_mv AT yangshuai solvinginversekinematicsproblemofredundantrobotbasedonimprovedfruitflyoptimiztionalgorithm