Abstract
The palletizing robot was analyzed through its constructure, and constructed its kinematics model and expressed the function of the model. On this basis, used the cubic spline function to carry out reasonable trajectory planning according to the working conditions of the robot, and established the time and jitter as the most optimization model of optimal target. And then used particle swarm optimization to optimize the target model. Through further experimental verification, the results show that the trajectory planning method proposed in this paper can improve the efficiency of the palletizing robot while ensuring stability.
Publication Date
2-18-2023
First Page
74
Last Page
78
DOI
10.13652/j.issn.1003-5788.2020.12.016
Recommended Citation
LAI, Xiao
(2023)
"Research on trajectory optimization algorithm of palletizing robot based on jitter and time,"
Food and Machinery: Vol. 36:
Iss.
12, Article 16.
DOI: 10.13652/j.issn.1003-5788.2020.12.016
Available at:
https://www.ifoodmm.cn/journal/vol36/iss12/16
References
[1] 张程,张卓.码垛机器人运动学分析及关节空间轨迹规划研究[J].组合机床与自动化加工技术,2020(2):19-21,25.
[2] 刘一均.基于RBF神经网络的码垛机器人轨迹优化[J].包装与食品机械,2019,37(2):62-65.
[3] 方健,宋宇,朱茂飞,等.基于时间最优的码垛机器人轨迹规划[J].控制工程,2018,25(1):93-99.
[4] SU Ting-ting,ZHANG Hao-jian,WANG Yun-kuan,et al.Deleta robot dynamic target grab algorithm based on ferrari method[J].Journal of Huazhong University of Science and Technology(Natural Science),2018,46(6):128-132.
[5] VOLTZ M,WEBSTER R.A comparison of kriging,cubic splines and classification for predicting soil properties from sample information[J].European Journal of Soil Science,2010,41(3):473-490.
[6] ZHANLAV T,MIJIDDORJ R.A comparative analysis of local cubic splines[J].Computational & Applied Mathematics,2018,31(5):1-11.
[7] 于洋,周佳伟,冯迎宾,等.基于三次B样条曲线的无人车轨迹优化方法研究[J].沈阳理工大学学报,2019,38(5):71-75.
[8] ENRICO Bertolazzi,MARCO Frego,FRANCESCO Biral.Point data reconstruction and smoothing using cubic splines and clusterization[J].Mathematics and Computers in Simulation,2020,176:36-56.
[9] 何建成,李林升,林国湘.基于自适应粒子群算法的FS20N机器人时间最优轨迹规划[J].机械研究与应用,2020,33(1):192-195.
[10] 王鹏,曹现刚,马宏伟,等.基于余弦定理-PID的煤矸石分拣机器人动态目标稳准抓取算法研究[J/OL].煤炭学报.[2020-05-01].https://doi.org/10.13225/j.cnki.jccs.2019.1565.
[11] PENG You,DENG Wan-ling,WU Wei-jing,et al.Hybrid modelling routine for metal-oxide TFTs based on particle swarm optimisation and artificial neural network[J].Electronics Letters,2020,56(9):453-456.
[12] MOSA Mohamed Atef.A novel hybrid particle swarm optimization and gravitational search algorithm for multi-objective optimization of text mining[J].Applied Soft Computing,2020,90:106189.