基于模糊控制算法的智能风筛系统设计
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(1. 山东职业学院乌拉尔国际轨道交通学院,山东 济南 250104;2. 山东凤祥股份有限公司,山东 阳谷 252327;3. 聊城大学物理科学与信息工程学院,山东 聊城 252059)

作者简介:

刘洪朋(1985—),男,山东职业学院讲师,硕士。E-mail:407896680@qq.com

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基金项目:

山东省自然科学基金(编号:ZR2021MF070);山东省职业教育教学改革项目(编号:20211164)


Design of intelligent air screen system based on fuzzy control algorithm
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(1. College of Ural International Rail Transit, Shandong Polytechnic, Jinan, Shandong 250104, China; 2. Yanggu Fengxiang Co., Ltd., Yanggu, Shandong 252327, China; 3. School of Physics Science and Information Technology, Liaocheng University, Liaocheng, Shandong 252059, China)

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    摘要:

    目的:解决风筛机筛选农作物中杂质分离效率低、控制效果不稳定、超调等技术问题。方法:提出一种基于模糊控制算法的智能化风筛系统,选择风速及其变化率作为输入变量,以舵机角度作为输出变量,通过模糊控制规则调节舵机角度,降低风筛超调,从而提高农作物杂质筛选效率,并依靠Arduino平台搭建系统进行了现场试验。结果:经过系统测试,在玉米脱出物喂入量3 kg/s,风量低于11.7 m/s限制条件下,风筛达到杂质分离率93%以上,无超调现象,设计的模糊控制算法鲁棒性强。结论:该控制系统运行稳定,能够快速根据风速调节筛选板的角度,且控制精度高,具有良好的控制效果。

    Abstract:

    Objective: To solve the technical problems such as low separation efficiency, unstable control effect and overshoot in crop screening by air screen. Methods: An intelligent air screen system based on fuzzy control algorithm was proposed. The wind speed and the change rate of wind speed were designed as input variables, and the steering gear angle was taken as output variable. The angle of the steering gear was adjusted by fuzzy control rules to reduce the overshot of the screen, so as to improve the screening efficiency of crop impurities. Results: Through the system test, under the condition of 3 kg/s feeding amount and 11.7 m/s air volume, the impurity separation rate of air screen was more than 93%, no overshoot phenomenon, the designed fuzzy control algorithm was robust. Conclusion: The control system runs stably and can quickly adjust the angle of the screening plate based on wind speed, with high control accuracy and good control effect.

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引用本文

刘洪朋,林毓梁,田中才,等.基于模糊控制算法的智能风筛系统设计[J].食品与机械,2023,39(12):88-91.
LIU Hongpeng, LIN Yuliang, TIAN Zhongcai, et al. Design of intelligent air screen system based on fuzzy control algorithm[J]. Food & Machinery,2023,39(12):88-91.

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  • 收稿日期:2023-03-17
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  • 在线发布日期: 2024-01-30
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