Journal of System Simulation
Abstract
Abstract: When the industrial robot carries on the precise processing, it is possible to finish in the work space of the whole attitude. In order to obtain the compact structure and meet the processing point, a new hybrid optimization algorithm is proposed. The structure model of the robot is established, and the global optimal particle and inertia weight of the particle swarm is introduced. The two parameters are classified by the intermediate value. The dynamic changes of the search medium and the optimization ability are enhanced. After verification, the algorithm has better search ability and higher accuracy. Finally, parameter identification of the structural optimization model, the results show that the obtained structure is compact and the quality of the rod length parameter is better while keeping the same size of the original quasi total attitude, Thereby, the proposed algorithm is effective and practical.
Recommended Citation
Gong, Chikun; Sun, Yinghui; and Yuan, Lipeng
(2019)
"Study on Application of Hybrid Optimization Algorithm in Parameters Optimization of Manipulator,"
Journal of System Simulation: Vol. 30:
Iss.
1, Article 13.
DOI: 10.16182/j.issn1004731x.joss.201801013
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss1/13
First Page
105
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201801013
Last Page
113
CLC
TP24
Recommended Citation
Gong Chikun, Sun Yinghui, Yuan Lipeng. Study on Application of Hybrid Optimization Algorithm in Parameters Optimization of Manipulator[J]. Journal of System Simulation, 2018, 30(1): 105-113.
DOI
10.16182/j.issn1004731x.joss.201801013
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons