基于ZigBee的温室灰色趋势预测控制系统

发布时间：2018-11-16 16:15

【摘要】：发展农业是实现农民增加人均收入,提高农民科技技术和农产品高质优产,满足社会需求的重要举措。温室控制系统研究是农业现代化发展的重要研究内容,建立一套精度较高、适用性好、安全可靠的温室控制系统已成为迫切需求。首先,针对在传统温室控制系统温室参数监测中有线通信的方式存在着布线困难、投资成本高和安装维护难等问题,本文将采用低功耗、成本低、时延短、安全性好的ZigBee无线网络技术,实现温室环境参数的可靠传输。针对温室控制系统是一个具有时变性、非线性、时滞性、耦合性等特点的多参数复杂控制系统,存在精确数学模型建立困难和难以实现精准控制等问题,本文在模糊PID控制的基础上引入灰色预测理论,提出温室参数的灰色趋势预测模糊PID控制解决方案,做到超前控制,克服时滞现象,提高系统稳定性和快速性,利用改进的灰色趋势预测模型,进一步减小预测误差,提高控制精度和系统响应速度。通过MATLAB仿真对模糊PID、灰色模糊PID控制和改进的灰色模糊PID控制的比较分析,证明控制解决方案是可行的。本文在温室控制系统的设计中,以CC2530芯片为核心,构建ZigBee无线网络,并以PLC为主控制器完成执行机构的联动控制,利用MCGS组态软件完成上位机设计,可通过数据查询、曲线显示和报警等功能即时掌握生长环境状态,来实现对温室系统的实时监控和管理。温室控制系统能够满足农作物生长环境的预期要求,同时实现高效节能,具有较高的推广应用价值,为“互联网+”现代农业的精准控制提供了一条有效途径。
[Abstract]:The development of agriculture is an important measure to increase the per capita income of farmers, improve farmers' science and technology and high quality of agricultural products, and meet the needs of society. The study of greenhouse control system is an important research content in the development of agricultural modernization. It has become an urgent need to establish a set of greenhouse control system with high precision, good applicability and safety and reliability. First of all, aiming at the difficulties of wiring, high investment cost and difficult installation and maintenance in the way of wired communication in the greenhouse parameter monitoring of the traditional greenhouse control system, this paper will adopt low power consumption, low cost, short delay, and so on. ZigBee wireless network technology with good security realizes the reliable transmission of greenhouse environmental parameters. The greenhouse control system is a multi-parameter complex control system with the characteristics of time-varying, nonlinear, time-delay and coupling. It is difficult to establish accurate mathematical model and difficult to achieve accurate control. On the basis of fuzzy PID control, the grey prediction theory is introduced in this paper, and the solution of grey trend prediction fuzzy PID control for greenhouse parameters is put forward in order to achieve advanced control, overcome the phenomenon of time delay, and improve the stability and rapidity of the system. The improved grey trend prediction model is used to further reduce the prediction error and improve the control accuracy and system response speed. Through the comparison and analysis of fuzzy PID, grey fuzzy PID control and improved grey fuzzy PID control by MATLAB simulation, it is proved that the control solution is feasible. In the design of greenhouse control system, ZigBee wireless network is constructed with CC2530 chip as the core, and PLC is used as the main controller to complete the linkage control of executing mechanism. The design of upper computer is completed by MCGS configuration software, which can be queried by data. The function of curve display and alarm can realize the real-time monitoring and management of greenhouse system. Greenhouse control system can meet the expected requirements of crop growth environment, and achieve high efficiency and energy saving. It has higher value of popularization and application, and provides an effective way for accurate control of modern agriculture on the Internet.
【学位授予单位】：河北科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP273;S625

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