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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2019-04-01
|
| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.009 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|---|
| ISSN: | 1004-2539 |