【作者】 桑强；

【导师】 张宏建；

【作者基本信息】 浙江大学 ， 检测技术与自动化装置， 2003， 硕士

【摘要】 聚烯烃是目前应用最为广泛的一种聚合物。随着烯烃聚合技术的不断发展，聚烯烃工业的发展由过去的以提高产量为主要目标，转移到现在的以提高产品质量为主要目标。反应器内合金化是当前聚烯烃工业发展的主要方向之一。浙江大学聚合反应国家重点实验室设计了一套基于“粒子反应器”技术的烯烃共聚实验装置，用以丙稀为主单体的烯烃合金共聚反应的研究。 烯烃合金共聚反应对控制的要求较高，本文针对装置的特点，设计了一套计算机实时控制系统。硬件结构以工控机及数据采集卡和数据输出卡为核心，实现对现场数据的采集与监控。开发了基于Delphi语言的控制软件，建立了友好的用户界面，提供了实施不同控制方案、不同控制算法的软件平台，实现对主要过程参数的实时控制。软硬件系统设计中，着重讨论了系统稳定性和可靠性措施。 本文通过分析烯烃合金共聚反应过程，提出了一套行之有效的控制方案，对烯烃合金共聚反应的控制作了一些开创性工作。主要讨论了反应温度、反应压力、气体组分、聚合物分子量主要控制参数的控制策略，探索了神经网络、模糊控制等智能控制方法在烯烃合金共聚反应的应用。同时在上述工作的基础上进行了实验，分析了控制方案的应用状况及其应用价值。更多还原

【Abstract】 Polyolefin is the most widely used polymer in the world. With the development of olefin polymerization, the target of olefin polymerization industry has changed from increasing productivity to improving quality of products. Alloy in the reactor is one of main direction of olefin polymerization industry. A polyolefin alloy experiment device based on "Particle Reactor " technology is developed in National Polymerization Laboratory of Zhejiang University, which used for the research of olefin alloy copolymerization using propylene as main monomer.Olefin alloy copolymerization reaction needs high-quality control. In this paper, a computer control system is developed for the polyolefin alloy experiment device. The hardware is based on industry computer, data acquisition card and data output card. And it realizes on-line measurement and supervision of field variables. Control software using Delphi as developing tool is provided. A friendly user operation interface is set up and real-time control of main parameters is realized. The software provided a platform to carry out various control solution, control algorithms. In the control system design, the stability and reliability is stressed.In this paper, an effective control solution for olefin alloy copolymerization reaction is provided through analyzing the reaction process. The control algorithms of reaction temperature, reaction pressure, molecule weight and reaction gas composition are discussed. The application of neural network and fuzzy control is stressed. On the base of above work, several experiments is implemented and the usefulness of the control algorithms is evaluated.更多还原