【作者】 李立礼；

【导师】 王强；

【作者基本信息】 广西师范大学 ， 电路与系统， 2008， 硕士

【摘要】 智能控制是在人工智能、认识科学、自动控制和现代控制理论等多学科基础上发展起来的新兴交叉学科,它是自动控制技术的最新发展阶段。现场总线控制系统(FCS)是随着微电子技术、计算机技术、网络技术的发展,并结合先进的控制理论,顺应现代工业控制的要求而发展的产物。它是一种基于现场总线的计算机控制技术,是一种全分散、全数字、全开放的控制系统,特别适用于工业过程控制,制造业及楼宇自动化等领域。是21世纪计算机控制系统的主流。本文概述了现场总线的概念、体系结构以及特点,分析了几种主要的现场总线。并根据合作单位(桂林市电力电容器有限责任公司)的真空浸渍车间的实际情况,与国外几种常用FCS进行分析比较后,采用基于FCS的智能仪表,设计了基于AIFCS的电力电容器真空浸渍监控系统。该系统既能现场监控,也能远程操作,具有安全可靠,成本低、功能强等特点。基于AIFCS的真空浸渍监控系统由现场监控层、操作站和远程监控层构成。现场监控层包括有现场智能仪表及总线模块,主要完成现场数据的采集和简单的控制,并通过总线与操作站进行通讯。操作站主要是工业计算机,能实现对各个真空罐的状态进行监控,并执行复杂的数据分析和控制策略。远程控制则是利用基于ARM的技术,在远程利用网络对现场设备进行监控。现场仪表设计主要包括以AT89S52为CPU的核心模块、显示电路模块、系统存储模块、系统输入输出模块、通讯模块等,本文对主要的功能电路进行详细的分析设计。系统软件则是以VC++6.0为平台,根据AIBUS协议,自主开发上位机的全部监控系统,其中包括有实时通信系统、仪表设置系统、智能算法系统、数据记录系统、报警系统、历史数据描绘系统以及真空罐工作流程图等。各系统模块独立设计,协调工作。本文提出一种改进PSO(粒子群优化算法)整定PID的方法,并通过理论分析及仿真,证明方法的有效性。同时,利用人工智能方法,设计开发了一种结合模糊控制技术的PID控制——模糊自适应PID控制(FAPID)。该控制技术既具有模糊控制自适应能力强,动态特性好的优点,又具备PID控制简单、灵活、静态稳定性好的优点。通过理论分析、仿真以及实际测试,证明该算法不仅控制精度高,过渡时间短,超调量小,而且还具有自适应和自学习功能,具有良好的动态和稳态性能。通过对仿真和实验测试结果的分析,本系统的各项性能指标均符合电力电容器真空罐浸渍的设计要求,并且具有很好的稳定性和较高的精确度。更多还原

【Abstract】 Intelligent control is a new interdisciplinary subject based on artificial intelligence, cognitive science, automation, and modern cybernetics, etc. Combining the advanced control theory and adapting the requirement of modern industrious control. Field Control System (FCS) is an outcome of development of microelectronic technology, computer technology, network technology and it is based on the fieldbus. It is a totally scattered, full digital and total opening control system especially suitable to be applied in the fields of industrial process control, manufacturing industry and building automation system. It is a mainstream of computer control system in the 21st century. In this thesis, the structure of FCS and its characteristics are summarized and some major fieldbus products are introduced. After comparing with several abroad fieldbus products and considering the cooperative company (Guilin Power Capacitor Co.Ltd) actual conditions of the vacuum-impregnated workshop, the AIFCS, a product designed by Xiamen Yudian Automation Technology Co.Ltd, is chosen to design a AIFCS-based power capacitor vacuum-impregnated monitoring system. This system can be not only used for field monitoring, but also support remote operation. It possesses the features of safety and reliability, low-cost, powerful function and so on.The AIFCS-based vacuum-impregnated monitoring system consists of locate monitoring layer, operation station and remote monitoring layer. The locate monitoring layer includes field intelligent instrument and bus module. It’s main functions are to fulfill real-time data collection, implement simple control, and communicate via the bus between devices and operation station. The operation station is IPC(Industrial Personal Computer) which can monitor the condition of every vacuum container and carry out the analysis of complex data and control strategy. Remote control is to use ARM-based technology through the long-distance network to monitor the field devices.The design of the field instrument mainly includes a core module using AT89S52 as CPU, display circuit module, storing system module, I/O system module, communication module. This thesis aims at analyzing and designing the main functional circuit in detail.VC++6.0 is used as a tool to set up the software system.The monitoring systems is developed according to AIBUS protocol and it consists of real-time communication system, instrument-setting system, intelligence algorithm system, data recording system, alarm system, historical data description system as well as the working flowchart of vacuum container, etc. Each system module is designed independently and all of them work in coordination.To tuning PID parameters, Particle Swarm Optimization (PSO) algorithm is used to improve the effect of the system, which is testified both by the theoretical analysis and the system simulation.At the same time, we design and develop a fuzzy self-adapting PID control system (FAPID) in which fuzzy control technology is adopted. This control system has the advantages of the powerful fuzzy adaptive controlling capability, the good dynamic characteristic, flexibility and the static stability. System simulation and practical tests prove that this algorithm not only has the high control precision, the short transition time, the smaller overshoot, the function of self-adaptation and self-learning, but also has the good dynamic and stable property.The analysis and simulation results prove that the performance of this system can meet the design requirements and serves the controlling purpose of the power capacitor vacuum container with better stability and higher precision.更多还原