Design and experiment of electronic seeding system based on response surface method

被引:5
|
作者
Zhang, Kaifei [1 ]
Zhang, Zhi [1 ]
Wang, Sheng [2 ]
Yang, Chen [3 ]
Yu, Yongchang [1 ]
Li, He [1 ]
机构
[1] Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou 450002, Peoples R China
[2] Henan Radio & Televis Univ, Coll Mech & Elect Engn, Zhengzhou, Peoples R China
[3] Jilin Univ, Coll Biol & Agr Engn, Changchun, Peoples R China
关键词
Intelligent Agricultural; mathematic model; space control; seeding system; METERING DEVICE; PERFORMANCE; OPTIMIZATION; PARAMETERS; MACHINE;
D O I
10.1080/0951192X.2020.1747643
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A new electronic seeding device was designed for large-sized seeds, such as soybean, corn, and peanuts, that supports an independent electronic-controlled seeding process. The developed seeding device consists of a programmable logic controller, pulse generator, stepper motor, and stepper motor driver. Based on the Box-Behnken Design model, the effects of different factors on the plant spacing control were analyzed, and the control parameters of the seeding system were optimized by correlation analysis. Through performance tests, the results of the research showed that the coefficient of variation of plant spacing was found to be affected by the interaction between shaft speed and belt speed, in which the belt speed was dominant. And the optimal control conditions by using Box-Behnken Design model are as follows: the seed shaft speed was 0.60 r/s, the soybean hundred-grain weight was 22 g, and the belt speed was 1.5 m/s. The results of the experiments showed that the socket-roller seeding device successfully completed the seeding test, and its performance index was in accord with the applicable standards for single grain precision seeding equipment.
引用
收藏
页码:982 / 990
页数:9
相关论文
共 50 条
  • [21] Improved evolutionary operation based on D-optimal design and response surface method
    Young-Hwan Chu
    In-Su Han
    Chonghun Han
    Korean Journal of Chemical Engineering, 2002, 19 : 535 - 544
  • [22] Multi-response optimization of a hybrid solar gas heating system based on the response surface method
    Sarmouk, Mohammed
    Merabtine, Abdelatif
    Fellouah, Hachimi
    Smaili, Arezki
    PROCEEDINGS OF BUILDING SIMULATION 2021: 17TH CONFERENCE OF IBPSA, 2022, 17 : 556 - 563
  • [23] Electronic control seed-metering system for precision seeding maize based on fuzzy PID
    Zhao, Xiaoshun
    Zhao, Hongpeng
    Wang, Zehe
    Li, Jincai
    Yu, Huali
    Yan, Qing
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2024, 17 (04) : 217 - 226
  • [24] Optimization of Shale Gas Production Using Design of Experiment and Response Surface Methodology
    Yu, W.
    Varavei, A.
    Sepehrnoori, K.
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2015, 37 (08) : 906 - 918
  • [25] Optimal Design for an Extruder Head Runner Based on Response Surface Method and Simulated Annealing Algorithm
    Zhou, Haichao
    Jiang, Zhen
    Li, Wenchao
    Wang, Guolin
    Tu, Yongjie
    INTERNATIONAL JOURNAL OF POLYMER SCIENCE, 2018, 2018
  • [26] Mix design of asphalt plug joint based on response surface method and grey relational analysis
    Lu, Pengzhen
    Huang, Simin
    Shen, Yang
    Wu, Ying
    Li, Dengguo
    INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 2023, 24 (02)
  • [27] Optimum design of composite plates using response surface method
    Abu-Odeh, AY
    Jones, HL
    COMPOSITE STRUCTURES, 1998, 43 (03) : 233 - 242
  • [28] Response surface method in optimum design of stiffened composite shells
    Rikards, R.
    Auzins, J.
    Kalnins, K.
    METAL STRUCTURES: DESIGN, FABRICATION, ECONOMY, 2003, : 229 - 236
  • [29] Wind turbine airfoil design using response surface method
    Sun, Hyosung
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2011, 25 (05) : 1335 - 1340
  • [30] Method for modifying convective heat transfer coefficients used in the thermal simulation of a feed drive system based on the response surface methodology
    Li, Dianxin
    Feng, Pingfa
    Zhang, Jianfu
    Wu, Zhijun
    Yu, Dingwen
    NUMERICAL HEAT TRANSFER PART A-APPLICATIONS, 2016, 69 (01) : 51 - 66