Simulation and Experiment of an Intelligent Control Model for the Cleaning of a Rice-wheat Combine Harvester

doi:10.16182/j.issn1004731x.joss.21-0136

Abstract

Abstract:

Modeling and simulation of cleaning intelligent control according to the changes of cleaning loss rate and trash content rate is the focus of research and hot issues of intelligent control of rice-wheat combine harvester. A method for acquiring knowledge of the experts' experience and knowledge is constructed based on the flow chart of cleaning control, and a cleaning intelligent control knowledge base for the intelligent control of the field operation environment based on the production rule is proposed. Based on the principle of human-simulating intelligent control, a knowledge inference algorithm for adaptive selection of cleaning regulation strategy is constructed, and the construction of the cleaning intelligent control model is completed. Based on the Simulink module library of Matlab, the simulation and experiment environment of the cleaning intelligent control model is constructed. By simulating the input of the cleaning impurity rate and the cleaning loss rate, the intelligent control algorithm is simulated and analyzed.

Key words: rice-wheat combine harvester, cleaning, intelligent control, model, knowledge reasoning

CLC Number:

Qing Jiang, Rujing Wang. Simulation and Experiment of an Intelligent Control Model for the Cleaning of a Rice-wheat Combine Harvester[J]. Journal of System Simulation, 2022, 34(11): 2485-2496.

Figures/Tables 6

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References 31

[1]	Liang Zhenwei, Li Yaoming, De Baerdemaeker Josse, et al. Development and Testing of a Multi-duct Cleaning Device for Tangential-longitudinal Flow Rice Combine Harvesters[J]. Biosystems Engineering (S1537-5110), 2019, 182: 95-106.
[2]	Liang Zhenwei, Li Yaoming, Xu Lizhang. Sensor for Monitoring Rice Grain Sieve Losses in Combine Harvesters[J]. Biosystems Engineering (S1537-5110), 2016, 147: 51-66.
[3]	徐立章, 李洋, 李耀明, 等. 谷物联合收获机清选技术与装置研究进展[J]. 农业机械学报, 2019, 10: 1-19.
	Xu Lizhang, Li Yang, Li Yaoming, et al. Research Progress on Cleaning Technology and Device of Grain Combine Harvester[J]. Journal of Agricultural Machinery, 2019, 10: 1-19.
[4]	Yin Yanxin, Zhang Yawei, Meng Zhijun. Design and Experiment of Multi-information Collection System for Grain Combine Harvesters[J]. IFAC PapersOnLine (S2405-8963), 2018, 51(17): 855-860.
[5]	李耀明, 梁振伟, 徐立章. 一种联合收获机清选含杂率自适应控制装置：中国，CN201520125018.4[P]. 2015-11-11.
	Li Yaoming, Liang Zhenwei, Xu Lizhang. An Adaptive Control Device for Impurity Content of Combine Harvester Cleaning: China, CN201520125018.4[P]. 2015-11-11.
[6]	张光跃, 金诚谦, 杨腾祥, 等. 联合收割机清选损失率监测系统设计与实现[J]. 中国农机化学报, 2019, 40(4): 146-150.
	Zhang Guangyue, Jin Chengqian, Yang Tengxiang, et al. Design and Implementation of Monitoring System for Cleaning Loss Rate of Combine Harvester[J]. China Journal of Agricultural Machinery Chemistry, 2019, 40(4): 146-150.
[7]	Liang Zhenwei, Li Yaoming, Xu Lizhang. Grain Sieve Loss Fuzzy Control System in Rice Combine Harvesters[J]. Applied Sciences-Basel (S2076-3417), 2019, 9(1): 1-13.
[8]	苏天生, 韩增德, 崔俊伟, 等. 谷物联合收割机清选装置研究现状及发展趋势[J]. 农机化研究, 2016, 38(2): 2-12.
	Su Tiansheng, Han Zengde, Cui Junwei, et al. Research Status and Development Trend of Cleaning Device of Grain Combine Harvester[J]. Research on Agricultural Mechanization, 2016, 38(2): 2-12.
[9]	梁振伟. 多风道清选装置设计方法及清选损失监测与控制技术研究[D]. 镇江: 江苏大学, 2018.
	Liang Zhenwei. Research on Design Method of Multi Duct Cleaning Device and Cleaning Loss Monitoring and Control Technology[D]. Zhenjiang: Jiangsu University, 2018.
[10]	张塽, 杨庆, 刘秀红, 等. 污水处理过程专家系统的结构特点与应用研究进展[J]. 环境工程, 2020, 38(7): 1-13.
	Zhang Shuang, Yang Qing, Liu Xiuhong, et al. Structural Characteristics and Application Research Progress of Sewage Treatment Process Expert System[J]. Environmental Engineering, 2020, 38(7): 1-13.
[11]	杨新民. 智能控制技术在火电厂应用研究现状与展望[J]. 热力发电, 2018, 47(7): 1-9.
	Yang Xinmin. Application and Research Status and Prospect of Intelligent Control Technology in Thermal Power Plant[J]. Thermal Power Generation, 2018, 47(7): 1-9.
[12]	姜岩, 唐勇伟, 李成攻, 等. 基于专家系统的水肥一体机智能控制系统[J]. 现代农业科技, 2018(10): 191-193.
	Jiang Yan, Tang Yongwei, Li Chenggong, et al. Intelligent Control System of Water Fertilizer Integrated Machine Based on Expert System[J]. Modern Agricultural Science and Technology, 2018(10): 191-193.
[13]	杨一鸣, 汪贵平. 面向对象的无人车电源故障检测专家系统设计[J]. 汽车技术, 2019(6): 30-35.
	Yang Yiming, Wang Guiping. Design of Object-oriented Expert System for Power Failure Detection of Unmanned Vehicle[J]. Automotive Technology, 2019(6): 30-35.
[14]	汤国瑞, 谢新连, 潘伟. 复杂水域船舶智能避碰专家系统设计[J]. 船海工程, 2019, 48(3): 160-165.
	Tang Guorui, Xie Xinlian, Pan Wei. Design of Intelligent Collision Avoidance Expert System for Ships in Complex Waters[J]. Marine Engineering, 2019, 48(3): 160-165.
[15]	梁振伟, 李耀明, 马培培, 等. 纵轴流联合收获机清选装置结构优化与试验[J]. 农机化研究, 2018, 40(5): 170-174.
	Liang Zhenwei, Li Yaoming, Ma Peipei, et al. Structural Optimization and Test of Cleaning Device of Longitudinal Axial Flow Combine Harvester[J]. Research on Agricultural Mechanization, 2018, 40(5): 170-174.
[16]	苏天生. 双纵轴流稻麦联合收割机清选装置的研究[D]. 北京: 中国农业机械化科学研究院, 2015.
	Su Tiansheng. Study on Cleaning Device of Double Longitudinal Axial Flow Rice Wheat Combine Harvester[D]. Beijing: China Academy of Agricultural Mechanization, 2015.
[17]	吴延军. 武器火控系统故障诊断知识获取技术的研究[J]. 科技与创新, 2018(16): 31-33, 36.
	Wu Yanjun. Research on Fault Diagnosis Knowledge Acquisition Technology of Weapon Fire Control System[J]. Technology and Innovation, 2018(16): 31-33, 36.
[18]	何庆飞, 陈小虎, 姚春江, 等. 基于流程图知识表示的工程机械液压故障诊断专家系统[J]. 机床与液压, 2019, 47(17): 216-219.
	He Qingfei, Chen Xiaohu, Yao Chunjiang, et al. Expert System for Hydraulic Fault Diagnosis of Construction Machinery Based on Knowledge Representation of Flow Chart[J]. Machine Tools and Hydraulics, 2019, 47(17): 216-219.
[19]	刘宏博, 何培祥, 蒋猛, 等. 小型割前脱粒收获机双滚筒恒速控制研究[J]. 农机化研究, 2016, 38(9): 210-213, 223.
	Liu Hongbo, He Peixiang, Jiang Meng, et al. Study on Constant Speed Control of Double Rollers of Small Precutting Threshing Harvester[J]. Research on Agricultural Mechanization, 2016, 38(9): 210-213, 223.
[20]	崔建弘, 寇雪梅, 杨静宜, 等. 基于模糊PID参数整定的收获机前进速度控制优化[J]. 农机化研究, 2016, 38(7): 75-79.
	Cui Jianhong, Kou Xuemei, Yang Jingyi, el al. Optimization of Harvester Forward Speed Control Based on Fuzzy PID Parameter Tuning[J]. Research on Agricultural Mechanization, 2016, 38(7): 75-79.
[21]	孙海文, 谢晓方, 孙涛, 等. 基于直觉模糊产生式规则推理的空袭目标威胁等级判断[J]. 兵器装备工程学报, 2019, 40(5): 33-37.
	Sun Haiwen, Xie Xiaofang, Sun Tao, et al. Threat Level Judgment of Air Raid Targets Based on Intuitionistic Fuzzy Production Rule Reasoning[J]. Journal of Ordnance and Equipment Engineering, 2019, 40(5): 33-37.
[22]	Li Song, Li Yan, Li Wenqiang, et al. An Extended Case-based Reasoning Method and Corresponding Product Design Process[J]. Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science (S0954-4062), 2019, 233(19/20): 6673-6688.
[23]	杨向飞, 赵子涵, 郑中, 等. 基于神经网络专家系统的智能变电站检修测试安措自动生成方法研究[J]. 中国测试, 2019, 45(11): 120-125.
	Yang Xiangfei, Zhao Zihan, Zheng Zhong, et al. Research on Automatic Generation Method of Maintenance and Test Safety Measures in Intelligent Substation Based on Neural Network Expert System[J]. China test, 2019, 45(11): 120-125.
[24]	官赛萍, 勒小龙, 贾岩涛, 等. 面向知识图谱的知识推理研究进展[J]. 软件学报, 2018, 29(10): 2966-2994.
	Guan Saiping, Le Xiaolong, Jia Yantao, et al. Research Progress of Knowledge Reasoning Based on Knowledge Map[J]. Journal of Software, 2018, 29(10): 2966-2994.
[25]	戴小文, 宋建霖, 岳丽全. 仿人智能控制理论及应用研究进展[J]. 自动化学报, 2020, 46(5): 1-14.
	Dai Xiaowen, Song Jianlin, Yue Liquan. Research Progress of Human Simulated Intelligent Control Theory and Application[J]. Journal of Automation, 2020, 46(5): 1-14.
[26]	胡洁. 基于仿人智能控制的无人船自动驾驶系统的研究[J]. 舰船科学技术, 2017, 39(14): 46-48.
	Hu Jie. Research on Automatic Driving System of Unmanned Ship Based on Human Simulated Intelligent Control[J]. Ship Science and Technology, 2017, 39(14): 46-48.
[27]	黄伟. 工业燃气窑炉炉膛温度的仿人智能控制策略[J]. 重庆理工大学学报(自然科学), 2019, 33(6): 117-121.
	Huang Wei. Human Simulated Intelligent Control Strategy for Furnace Temperature of Industrial Gas Kiln[J]. Journal of Chongqing University of Technology (Natural Science), 2019, 33(6): 117-121.
[28]	杨张利. 农机作业履带式行走张紧系统的自适应控制策略[J]. 重庆理工大学学报(自然科学), 2019, 33(4): 156-160.
	Yang Zhangli. Adaptive Control Strategy of Crawler Walking Tensioning System for Agricultural Machinery Ooperation[J]. Journal of Chongqing University of Technology (Natural Science), 2019, 33(4): 156-160.
[29]	陈进, 郑世宇, 李耀明, 等. 联合收获机前进速度灰色预测模糊控制系统[J]. 农业机械学报, 2011, 42(10): 110-115.
	Chen Jin, Zheng Shiyu, Li Yaoming, et al. Grey Prediction Fuzzy Control System for Forward Speed of Combine Harvester[J]. Journal of Agricultural Machinery, 2011, 42(10): 110-115.
[30]	刘存香, 刘学军, 林土淦. 双模式离合控制系统仿真分析及试验研究[J]. 现代制造工程, 2017(5): 65-70.
	Liu Cunxiang, Liu Xuejun, Lin Tugan. Simulation Analysis and Experimental Research of Dual-mode Clutch Control System[J]. Modern Manufacturing Engineering, 2017(5): 65-70.
[31]	陈宇, 吕文兵, 陆新江. 模锻过程结合机理与数据的智能控制方法[J]. 锻压技术, 2017, 42(4): 170-178.
	Chen Yu, Lü Wenbing, Lu Xinjiang. Intelligent Control Method of Combining Mechanism and Data in Die Forging Process[J]. Forging Technology, 2017, 42(4): 170-178.

前提条件	结论
“雷沃谷神4LZ-10型” “12 kg”“江苏省南通市” “水稻南粳9108”“1.54” “25%”“清选损失率偏高”	上筛开度调大5 mm
	风机转速减小50 r/min
	分风板角度调为40°
“雷沃谷神4LZ-10型” “12 kg”“江苏省南通市” “水稻南粳9108”“1.54” “25%”“清选含杂率偏高”	上筛开度调小5 mm
	风机转速增大50 r/min
	分风板角度调为40°