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储粮用变压膨胀灭虫方法及其模糊控制技术 被引量:1

A Method and Fuzzy Control Scheme for Killing Pests of Stored Grain by Expansion under High-Pressure Drop
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摘要 灭虫是粮食仓储前的关键技术。在分析现有灭虫方法后,设计了一种基于变压膨胀的无公害储粮灭虫方法。建立了系统总体原理图和工作流程。基于计算机设计了系统的全自动控制方案。特别在容器内设计了导气管,在气路中设计了缓冲气瓶,从而加快容器内的升压和压力平衡速度。分析了变压膨胀灭虫方法的数学模型,确定了影响性能的关键参数是合理的高压值和保压时间。针对设备的复杂性和关键参数的智能化设定,设计了多输入多输出的模糊规则器,并采用最小—最大法进行模糊推理和反模糊化,给出了详细的模糊推理方法。采用PD反馈控制快速实现容器内的高压。利用PCAuto建立了系统的仿真环境,并进行了压力的模糊控制实验。结果表明模糊控制提高了压力控制效率。试验证明了变压膨胀灭虫方法的有效性。本装置已获得国家发明专利。 Insect pest control of stored grain is a worldwide problem. Killing pests without pollution is a serious task in grain storage. After analyzing existing killing pest methods, pest killing by expansion under high - pressure drop was proposed. Whole system architecture was established. The mechanism of killing pests and working procedure including parallel process were given. A centre controUer based on industrial personal computer was built for automation. Specially, air tubes installed in a compress- resistant container and a buffer container setting on air pipeline were designed to shorten high pressure increasing and balancing time. A model of killing pests was built. Values of high pressure and keeping time were the key factors to influence performance and eftlciency. Due to the complexity of grain and posts, the fuzzy control ruler was designed and described in detail for intelligent setting of high pressure and keeping time. Max - Min algorithm was used to fuzzy reasoning and anti - fuzzy. PD feedback dosed-loop scheme was used to control high pressure rapidly. The simulation model was built in PCAuto. Control simulation and killing post test were done. Results show that the killing pest method under high-pressure drop is efficient and the fuzzy control is valid. The proposed equipments have got invention patent authorization granted in China.
出处 《中国粮油学报》 EI CAS CSCD 北大核心 2009年第6期152-156,共5页 Journal of the Chinese Cereals and Oils Association
基金 浙江省教育厅基金项目(20070673)
关键词 储粮 降压 灭虫 机理 模糊控制 grain storage, high pressure drop, pests killing, mechanism, fuzzy control
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