摘要
如何根据清选损失率和含杂率的变化进行清选智能调控建模与仿真是智能化稻麦联合收获机智能调控的研究重点和热点问题。基于清选调控流程图构建了清选智能调控专家经验知识获取方法,基于产生式规则表示法构建了面向田间作业环境的清选智能调控知识库;基于仿人智能控制原理,构建了自适应选择清选调控策略的知识推理算法,完成了清选智能调控模型的构建。基于Matlab的Simulink模块库构建了清选智能调控模型仿真与测试环境,通过模拟清选含杂率和清选损失率的输入,对该智能控制算法进行了仿真试验与分析。
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.
作者
蒋庆
王儒敬
Jiang Qing;Wang Rujing(Faculty of Electronic and Information Engineering,West Anhui University,Lu’an 237012,China;Institute of Intelligent Machines,Chinese Academy of Sciences,Hefei 230031,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2022年第11期2485-2496,共12页
Journal of System Simulation
基金
国家重点研发计划(2016YFD0702002)
山东省重大科技创新工程项目(2019JZZY010730)。
关键词
稻麦联合收获机
清选
智能控制
模型
知识推理
rice-wheat combine harvester
cleaning
intelligent control
model
knowledge reasoning
