Artificial Bee Colony and Newton Algorithm for Forward Position Solution of Parallel Mechanism
By an organic combination of the intelligent optimization algorithm and the numerical iteration method， a general algorithm called hybrid artificial bee colony and Newton iteration （HABC-Newton） algorithm for solving the forward positions of parallel mechanism is constructed. The differential evolut...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2019-04-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.009 |
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| _version_ | 1841548793952075776 |
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| author | Ping Li Siyang Peng Linxian Che Li Du Junkun Hong |
| author_facet | Ping Li Siyang Peng Linxian Che Li Du Junkun Hong |
| author_sort | Ping Li |
| collection | DOAJ |
| description | By an organic combination of the intelligent optimization algorithm and the numerical iteration method， a general algorithm called hybrid artificial bee colony and Newton iteration （HABC-Newton） algorithm for solving the forward positions of parallel mechanism is constructed. The differential evolution （DE） algorithm is incorporated into the artificial bee colony （ABC） algorithm to form a hybrid ABC （HABC） algorithm which can converge quickly to the near optimal solution of the problem. Then the optimal solution is used as initial value and Newton-Шамарский iteration method is employed to find high precision solutions. Taking 4-SPS-CU parallel mechanism kinematics analysis as an example， the forward kinematics analysis method of parallel mechanism based on HABC-Newton algorithm is stated. In order to verify the effectiveness and universality of the algorithm， two numerical examples of forward kinematics such as 4-SPS-CU and 3-RRR coupled parallel mechanisms are given. The results show that the HABC-Newton algorithm can obtain all the high accurate solutions of the parallel mechanism with less computational cost. Furthermore， comparative tests to solve these examples are carried out with HABC-Newton， ABC， DE and particle swarm optimization algorithms， and the numerical experiments indicate that HABC-Newton algorithm has better performance than compared algorithms in terms of the accuracy， robustness and computational efficiency. |
| format | Article |
| id | doaj-art-c68301f890ae461197fe7d7bd3c9ea23 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2019-04-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-c68301f890ae461197fe7d7bd3c9ea232025-01-10T14:01:10ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392019-04-0143445030646932Artificial Bee Colony and Newton Algorithm for Forward Position Solution of Parallel MechanismPing LiSiyang PengLinxian CheLi DuJunkun HongBy an organic combination of the intelligent optimization algorithm and the numerical iteration method， a general algorithm called hybrid artificial bee colony and Newton iteration （HABC-Newton） algorithm for solving the forward positions of parallel mechanism is constructed. The differential evolution （DE） algorithm is incorporated into the artificial bee colony （ABC） algorithm to form a hybrid ABC （HABC） algorithm which can converge quickly to the near optimal solution of the problem. Then the optimal solution is used as initial value and Newton-Шамарский iteration method is employed to find high precision solutions. Taking 4-SPS-CU parallel mechanism kinematics analysis as an example， the forward kinematics analysis method of parallel mechanism based on HABC-Newton algorithm is stated. In order to verify the effectiveness and universality of the algorithm， two numerical examples of forward kinematics such as 4-SPS-CU and 3-RRR coupled parallel mechanisms are given. The results show that the HABC-Newton algorithm can obtain all the high accurate solutions of the parallel mechanism with less computational cost. Furthermore， comparative tests to solve these examples are carried out with HABC-Newton， ABC， DE and particle swarm optimization algorithms， and the numerical experiments indicate that HABC-Newton algorithm has better performance than compared algorithms in terms of the accuracy， robustness and computational efficiency.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.009Parallel mechanismForward position solutionArtificial bee colony algorithmDifferential evolution operatorNewton iteration method |
| spellingShingle | Ping Li Siyang Peng Linxian Che Li Du Junkun Hong Artificial Bee Colony and Newton Algorithm for Forward Position Solution of Parallel Mechanism Jixie chuandong Parallel mechanism Forward position solution Artificial bee colony algorithm Differential evolution operator Newton iteration method |
| title | Artificial Bee Colony and Newton Algorithm for Forward Position Solution of Parallel Mechanism |
| title_full | Artificial Bee Colony and Newton Algorithm for Forward Position Solution of Parallel Mechanism |
| title_fullStr | Artificial Bee Colony and Newton Algorithm for Forward Position Solution of Parallel Mechanism |
| title_full_unstemmed | Artificial Bee Colony and Newton Algorithm for Forward Position Solution of Parallel Mechanism |
| title_short | Artificial Bee Colony and Newton Algorithm for Forward Position Solution of Parallel Mechanism |
| title_sort | artificial bee colony and newton algorithm for forward position solution of parallel mechanism |
| topic | Parallel mechanism Forward position solution Artificial bee colony algorithm Differential evolution operator Newton iteration method |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.009 |
| work_keys_str_mv | AT pingli artificialbeecolonyandnewtonalgorithmforforwardpositionsolutionofparallelmechanism AT siyangpeng artificialbeecolonyandnewtonalgorithmforforwardpositionsolutionofparallelmechanism AT linxianche artificialbeecolonyandnewtonalgorithmforforwardpositionsolutionofparallelmechanism AT lidu artificialbeecolonyandnewtonalgorithmforforwardpositionsolutionofparallelmechanism AT junkunhong artificialbeecolonyandnewtonalgorithmforforwardpositionsolutionofparallelmechanism |