李长友, 班 华. 基于深层干燥解析理论的粮食干燥自适应控制系统设计[J]. 农业工程学报, 2008, 24(4).
    引用本文: 李长友, 班 华. 基于深层干燥解析理论的粮食干燥自适应控制系统设计[J]. 农业工程学报, 2008, 24(4).
    Li Changyou, Ban hua. Design of self-adaptive control system for grain dryer based on deep-bed analytical ventilating drying theory[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(4).
    Citation: Li Changyou, Ban hua. Design of self-adaptive control system for grain dryer based on deep-bed analytical ventilating drying theory[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(4).

    基于深层干燥解析理论的粮食干燥自适应控制系统设计

    Design of self-adaptive control system for grain dryer based on deep-bed analytical ventilating drying theory

    • 摘要: 粮食干燥系统存在多种不确定因素,传统的靠检测出机粮水分,控制排粮速度或进风条件的做法,很难实现干燥过程的实时控制,为了能根据不同的进粮水分,自动调整干燥机的工作状况,从而提高干燥的效率和品质,在粮食深层干燥解析理论和高湿粮食水分在线测量技术的基础上,研究开发了一套粮食干燥设备自适应控制系统,能够使设备在工作过程中,按照实时的进粮水分自动变更工作制度,确保实时的操作条件最优。通过生产应用验证,系统能够在10%~35% wb的含水率变化范围、-30℃~+40℃温度变化范围可靠地工作,控制的干燥机出粮含水率偏差≤±0.5%wb。形成了适宜于产业化推广应用的粮食集中干燥自适应控制系统。

       

      Abstract: Because of the uncertainty of grain drying system, it is hard to realize real-time control using the traditional control method which adjusts discharge rate and ventilating condition according to output grain moisture content. In this paper, a kind of self-adaptive control system for grain drier was developed based on analytical theory of grain deep-bed drying process and precise detection technology of high-moisture-content grain. It can change the system automatically to ensure the optimization of working condition according to real-time input-grain-moisture-content and output status. The control system was proved to be reliable, stable, accurate and practical in production application. For great moisture content differences between kernels, this device can accurately detect the moisture content of each kernel and moisture distribution with the dynamic temperature variation between –30℃ and +40℃ and moisture content variation between 10%wb and 35%wb. And the error of output moisture content is less than ±0.5%wb. So this adaptive control system for grain dryer is reliable and practical for industrial application.

       

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