【作者】 王芳；

【导师】 张茂青；

【作者基本信息】 苏州大学 ， 控制理论与控制工程， 2008， 硕士

【摘要】 温室技术具有合理利用农业资源、保护生态环境、提高农产品产量及在国际市场竞争力等优势,已成为当前国际前沿性研究领域。如何利用自动控制系统有效地提高温室环境控制水平和现代化管理程度,是温室技术研究的重要课题之一。随着过程控制技术、通讯技术、自动检测技术及计算机技术的发展,将工业上较为成熟的、先进的控制方法和管理手段引入到农业的生产设施中,实施有效的温室环境控制,已成为现阶段温室技术的主要研究方向。本文论述了温室环境的控制原理,介绍了温室的结构和材料,分析了温度、湿度对温室内作物的影响,并在此基础上提出了智能化温室环境控制系统的总体方案,由PC机和多台西门子PLC组成的分布式控制系统,PC机和MCGS组态软件主要完成参数设定、数据处理等任务;而下位机主要完成数据采集、处理等实时控制任务。本文以智能温室为研究对象,对智能温室的控制算法进行研究。温室环境系统是一类多变量的大惯性非线性系统,且有交连,时滞等现象,很难对这类系统建立精确的数学模型及用经典控制方法实现控制。基于上述情况,本文采用模糊控制算法,选用T—S模型进行模糊推理,并完成了算法的PLc程序实现。随后讨论了基于Profibus—DP的PLC网络组态方法,解决了监控层与过程控制层间的网络通讯和接口问题,并利用MCGS组态软件,根据温室环境系统监控要求设计编写了上位监控软件,实现远程监控、报警记录、曲线显示和用户管理等多项监控功能。文章最后将模糊理论的知识表达与神经网络的自学习能力有机地结合起来,提出了一种模糊神经网络控制方案,并针对温室灌溉系统的控制,在MATLAB中进行了仿真实验,由此验证了模糊神经网络这种控制方法应用于温室自动控制系统的可行性。整个系统经实际运行表明:具有容错性强、效率高且易扩展,适用性较强等特点,为实现温室环境的更多参数测控系统的研究和设计奠定了技术基础。更多还原

【Abstract】 Greenhouse technology has become an advanced research field internationally for its advantage making good use of agriculture resource, protecting environment, enhance the output and competition capability of the produce. How to improve the control performance and modernization administration is one of the important tasks that the greenhouse research faces at present. Along with developments of process control technology, communication technology, measurement technology and computer technology, importing advanced control methods and managements to implement efficient greenhouse environment control has become the primary research aspect.The thesis puts emphasis on the control principle of greenhouse environment system, introduces the structure and material of greenhouse, tells the influence of temperature, humidity in details. Based on these the whole design plan has been offered, the system consists of PC and several Siemens PLC that is a distributed system. PC and configuration software MCGS mainly performs following functions: parameter setting, data processing, etc. The subordinate computer should accomplish all the missions of real-time control on greenhouse environment, such as data gathering, transmitting, etc.This article takes the intelligent greenhouse as the research object and conducts the research about the intelligent greenhouse control algorithm. The greenhouse environment system is a multivariable big inertial nonlinear system, also has the junction company phenomenon and time lag. It is difficult to establish precise mathematical model and use the classics control method in this system. Based on this kind of situation, the method of fuzzy control is adopted and the T-S fuzzy inference model is proposed, then the realization of PLC program is finished. The method to design the PLC Profibus-DP network configuration is discussed, the problem of communication and interface between monitor layer and process control layer issolved. According to the monitor requirements of greenhouse environment system, the monitoring software was designed using the industry configuration software MCGS, the functions of remote monitoring, alarm record, curve display and user administration are realized greatly. This text finally presents a kind of fuzzy neural network method which combines fuzzy knowledge representation with neural network self-learning ability, for the control of greenhouse irrigation system, I have been going on the simulation by the platform of MATLAB, therefore it has verified that the feasibility of using FNNC.The whole system which is run actually is proved that it has good capability, high efficiency , easy use and strong adaptability. it is the technology basis of the design and research of testing and controlling system of the greenhouse multi-factor.更多还原