模糊控制器参数自寻优设计说明书剖析.docVIP

摘要 模糊控制其实质是对人的思维过程的一种模拟，但常规的模糊控制器的参数与控制规则无法随着被控对象的改变而变化，从而无法保证始终有较好的控制性能。本设计以先进控制实验室的PCS流量单元为实验设备，基于S7-300，OPC及MATLAB软件，通过校园局域网开发网络化的自寻优模糊控制系统。首先，以校园网为通信基础，S7-300 PLC作为OPC的服务器，上位PC机作为OPC的客户端，搭建网络控制平台，其次在MATLAB中搭建模糊控制模型及控制规则可调整的模糊控制器，确定以ITAE作为寻优的目标函数进行单纯形法的寻优控制，最后在搭建的NCS平台进行系统调试，分析系统动态性能和优化设计结果。结果表明可寻优的模糊控制器系统能达到快速小超调且稳定的设计目标，相比常规的模糊控制器有更好的控制效果，适用于无需精确数学模型，时变，非线性等包含较多不确定性的控制系统。 关键词：模糊控制；MATLAB控制系统；参数自寻优；优化设计；单纯形法 Abstract Fuzzy Control and its essence is an analog of the human thinking process, but the conventional parameters and control rules of fuzzy controller can not change with the change of the controlled object, which can not always guarantee better control performance. The design of advanced control laboratory for the experimental device PCS traffic unit, based on S7-300, OPC and MATLAB software, developed by the campus LAN network of self-optimizing fuzzy control system. First, the campus network as communication infrastructure, S7-300 PLC as the OPC server, host PC as an OPC client, set up the network control platform, followed by the fuzzy controller fuzzy control model to build and control rules adjustable in MATLAB OK to ITAE as optimization objective function optimization control of the simplex method, and finally build the NCS platform for system debugging, analysis of system dynamic performance and optimization results. The results show that optimization of the fuzzy controller can achieve rapid system small overshoot and stable design goals, compared to conventional fuzzy controller has better control effect, applicable without accurate mathematical model, time-varying, nonlinear contains Multiple control system uncertainty. Key Words: Fuzzy Control; MATLAB Control System; Parameter Self-Optimizing；Optimized design；Simplex Method 目录 第一章 概述 1 1.1毕业设计的技术背景和设计依据 1 1.2设计中使用的软件硬件介绍 2 1.3设计的任务及内容 4 第二章 方案论证 6 2.1PCS系统及流量控制单元 6 2.2西门子S7-300 PLC的介绍 8 2.3控制方案的确定 9 第三章 半实体平台的建立 11 3.1配置PC机的硬件机架 12 3.2在STEP 7中组态PC Station 13 3.2.1网络组态 16 3.2.2组态下载 17 3.2.3