当前位置: 首页 > 文章 > Multi-objective optimization design of wheat centralized seed feeding device based on particle swarm optimization (PSO) algorithm
国际农业与生物工程学报
2020,13
(6)
Position: Home > Articles > Multi-objective optimization design of wheat centralized seed feeding device based on particle swarm optimization (PSO) algorithm
International Journal of Agricultural and Biological Engineering
2020,13
(6)
Multi-objective optimization design of wheat centralized seed feeding device based on particle swarm optimization (PSO) algorithm
作 者:
Qingqing Wang;Zhaodong Li;Weiwei Wang;Chunyu Zhang;Liqing Chen;Li‐Jun Wa
单 位:
2. Anhui Province Engineering Laboratory of Intelligent Agricultural Machinery and Equipment, Hefei 230036, Chin;1. College of Engineering, Anhui Agricultural University, Hefei 230036, China; 2. Anhui Province Engineering Laboratory of Intelligent Agricultural Machinery and Equipment, Hefei 230036, China;College of Engineering, Anhui Agricultural University, Hefei 230036, China
关键词:
centralized seed feeding device;multi-objective;optimization;PSO algorithm;SIMULATION;RAPESEED;MOTION;HEA
摘 要:
In order to solve the problem of interaction between multiple evaluation indexes of seed metering performance under multiple factors of centralized seed feeding device, a multi-objective optimization of structure based on particle swarm optimization (PSO) algorithm was proposed in this paper. The wheat centralized seed feeding device was taken as the research object, and the experimental factors were cone angle of type hole, working speed and seed filling gap. The working process of wheat centralized seed feeding device was simulated by discrete element method (DEM). The average seed number of type hole, the variation coefficient of the average seed number of type hole, and the maximum tangential force between seed and seed feeding mechanism were selected as the evaluation indexes. Through the variance analysis of the evaluation indexes by the experimental factors, the optimization objective function was constructed. Using PSO algorithm, the multi-objective optimization was carried out for the wheat centralized seed feeding device. The optimization results show that the best structural combination parameters of the wheat centralized seed feeding device are the hole cone angle of 31.6° and the seed filling gap of 4.6 mm. The validity of the method was verified by simulation and field test. The results show that the PSO algorithm multi-objective optimization method proposed in this paper can provide a reference for the structural improvement and optimal design of the centralized seed feeding device.