氟碳喷涂烘道恒温控制.doc
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氟碳喷涂烘道恒温控制,摘要恒温控制在加工业领域普遍存在。随着加工业的发展，恒温控制系统所应用的环境越来越复杂和多样化，对控制的精度等需求也越来越高，而且温控系统的非线性和滞后性也一直没有得到很好的解决。传统的控制算法和传统的控制器已经无法满足众多变化的需要，智能控制方法和高性能的控制器开始得到关注。在此背景下，本课题研究并设计了氟碳喷涂烘道...
内容介绍
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摘 要
恒温控制在加工业领域普遍存在。随着加工业的发展，恒温控制系统所应用的环境越来越复杂和多样化，对控制的精度等需求也越来越高，而且温控系统的非线性和滞后性也一直没有得到很好的解决。传统的控制算法和传统的控制器已经无法满足众多变化的需要，智能控制方法和高性能的控制器开始得到关注。在此背景下，本课题研究并设计了氟碳喷涂烘道恒温控制系统。本课题主要分为系统设计分析、仿真验证和系统软硬件设计几个部分。
在系统分析设计中，首先通过了解氟碳喷涂工艺，在厂家实测数据，借助matlab系统辨识工具箱建立了被控对象的数学模型，之后又通过深入学习直接数字控制系统、传统PID控制算法和神经网络理论，分析研究了增量式PID、基于径向基函数（RBF）的自适应PID以及基于径向基函数（RBF）与史密斯（Smith）预估补偿的智能PID控制算法的氟碳喷涂烘道温度闭环调控系统；在仿真验证中，借助MATLAB的系统辨识工具箱建立了被控对象的数学模型，并在SIMULINK仿真平台中分别搭建了以上三种控制算法的氟碳喷涂烘道恒温控制系统仿真模型，并对各个系统设计进行了仿真验证，其中包括S-函数编写扩展的仿真模块。仿真结果表明基于径向基函数与史密斯预估补偿的智能PID控制算法的控制效果优于另外两种算法的控制效果，之后又在基于径向基函数与史密斯预估补偿的智能PID控制系统理论仿真模型中加入与实际工作环境相对应的噪声进行仿真，发现控制结果满足系统性能指标，最终将该智能PID确定为设计中所采用的控制算法；在计算机仿真通过之后，本课题以TI公司的TMS320F2812DSP为主控制芯片，完成了氟碳喷涂烘道恒温调控系统硬件部分设计；其中硬件部分包括DSP外围电路、键盘电路、显示电路、温度给定电路、实时温度检测电路、D/A电路、保护电路。系统软件设计，以ccs3.3为开发环境，完成了氟碳喷涂烘道恒温控制系统工程设计，其中源程序部分包括主程序模块、采样中断模块、PID调控输出模块、初始化模块，键盘模块、显示模块、D/A模块、保护模块以及报警模块设计。
最后，对系统进行了实验研究，给出了实验结果，证明设计的控制系统实现了确定的±2℃性能指标，并对系统实际运行结果中误差进行了分析。
关键词： 氟碳喷涂；径向基函数（RBF）；史密斯（Smith）；PID；DSP；恒温控制
Abstract
Temperature control in processing field is commonly existing. Along with the development of industry, constant temperature control system is applied by more and more complex or diverse environment, the control precision demand is higher and higher, and the temperature control system of the nonlinearity and hysteresis also has not been solved well. Traditional control algorithm and the traditional controller has failed to meet the needs of many changes, the intelligent control method and high-performance controller starts to be got attention. In this background, the constant temperature control system about a fluorine carbon spraying bake is designed and researched in this topic . This topic includes system analysis and design、simulation and validation、system hardware and software design parts.
In the analysis and design part of system, firstly, by understanding fluorine carbon spraying process, the measured data in the factory, established the mathematical model of the controlled object with the aid of the matlab system identification toolbox;secondly, through study DDC、traditional PID control algorithm and the neural network theory deeply, the intelligent PID control algorthm based on RBF neural network and Smith guesstimation compensation used in bake temperature closed loop control system was analyzed; In the simulation and validation part, with the identification system toolbox of MATLAB established the mathematical model of the controlled object, in simulink7.1 simulation platform built the bake constant temperature control system simulation model for system, including S - function write extended simulation module.Simulation results show that based on RBF neural network and Smith guesstimation compensation of intelligent PID control algorithm is control effect and robustness to the traditional PID control algorithm; In the hardware part, takes the TMS320F2812DSP TI company as mainly control chip, finishes the fluorine carbon spraying bake temperature control system hardware design, this part includes DSP buffer circuit, keyboard circuit, display circuit, syetem given circuit, realtime temperature detecting detection circuit, D/A circuit, protect circuit; In the software part, used ccs3.3 as the development environment,finished the control project design,this source program includes main program module, Sampling interrupt module,initialization module, the keyboard module, display modules,protcet module and alarm module.
Finally, the system was studied, the experimental result was gave, and the result were ideal and reached the performance index of the control system,at the same time, the error of the system in the action work was analyzed.
Keywords: fluorine carbon spraying, RBF; Smith, PID; DSP；const temperature control
目 录
摘 要 I
Abstract III
第1章 绪论 1
1.1 课题的理论意义和实用价值 1
1.2 本课题国内、外研究现状与发展趋势 3
1.2.1 国内现状 3
1.2.2 国外现状 4
1.2.3 发展趋势 4
1.3 课题的研究内容与研究方法 5
第2章 氟碳喷涂烘道恒温控制系统简介 6
2.1 氟..
恒温控制在加工业领域普遍存在。随着加工业的发展，恒温控制系统所应用的环境越来越复杂和多样化，对控制的精度等需求也越来越高，而且温控系统的非线性和滞后性也一直没有得到很好的解决。传统的控制算法和传统的控制器已经无法满足众多变化的需要，智能控制方法和高性能的控制器开始得到关注。在此背景下，本课题研究并设计了氟碳喷涂烘道恒温控制系统。本课题主要分为系统设计分析、仿真验证和系统软硬件设计几个部分。
在系统分析设计中，首先通过了解氟碳喷涂工艺，在厂家实测数据，借助matlab系统辨识工具箱建立了被控对象的数学模型，之后又通过深入学习直接数字控制系统、传统PID控制算法和神经网络理论，分析研究了增量式PID、基于径向基函数（RBF）的自适应PID以及基于径向基函数（RBF）与史密斯（Smith）预估补偿的智能PID控制算法的氟碳喷涂烘道温度闭环调控系统；在仿真验证中，借助MATLAB的系统辨识工具箱建立了被控对象的数学模型，并在SIMULINK仿真平台中分别搭建了以上三种控制算法的氟碳喷涂烘道恒温控制系统仿真模型，并对各个系统设计进行了仿真验证，其中包括S-函数编写扩展的仿真模块。仿真结果表明基于径向基函数与史密斯预估补偿的智能PID控制算法的控制效果优于另外两种算法的控制效果，之后又在基于径向基函数与史密斯预估补偿的智能PID控制系统理论仿真模型中加入与实际工作环境相对应的噪声进行仿真，发现控制结果满足系统性能指标，最终将该智能PID确定为设计中所采用的控制算法；在计算机仿真通过之后，本课题以TI公司的TMS320F2812DSP为主控制芯片，完成了氟碳喷涂烘道恒温调控系统硬件部分设计；其中硬件部分包括DSP外围电路、键盘电路、显示电路、温度给定电路、实时温度检测电路、D/A电路、保护电路。系统软件设计，以ccs3.3为开发环境，完成了氟碳喷涂烘道恒温控制系统工程设计，其中源程序部分包括主程序模块、采样中断模块、PID调控输出模块、初始化模块，键盘模块、显示模块、D/A模块、保护模块以及报警模块设计。
最后，对系统进行了实验研究，给出了实验结果，证明设计的控制系统实现了确定的±2℃性能指标，并对系统实际运行结果中误差进行了分析。
关键词： 氟碳喷涂；径向基函数（RBF）；史密斯（Smith）；PID；DSP；恒温控制
Abstract
Temperature control in processing field is commonly existing. Along with the development of industry, constant temperature control system is applied by more and more complex or diverse environment, the control precision demand is higher and higher, and the temperature control system of the nonlinearity and hysteresis also has not been solved well. Traditional control algorithm and the traditional controller has failed to meet the needs of many changes, the intelligent control method and high-performance controller starts to be got attention. In this background, the constant temperature control system about a fluorine carbon spraying bake is designed and researched in this topic . This topic includes system analysis and design、simulation and validation、system hardware and software design parts.
In the analysis and design part of system, firstly, by understanding fluorine carbon spraying process, the measured data in the factory, established the mathematical model of the controlled object with the aid of the matlab system identification toolbox;secondly, through study DDC、traditional PID control algorithm and the neural network theory deeply, the intelligent PID control algorthm based on RBF neural network and Smith guesstimation compensation used in bake temperature closed loop control system was analyzed; In the simulation and validation part, with the identification system toolbox of MATLAB established the mathematical model of the controlled object, in simulink7.1 simulation platform built the bake constant temperature control system simulation model for system, including S - function write extended simulation module.Simulation results show that based on RBF neural network and Smith guesstimation compensation of intelligent PID control algorithm is control effect and robustness to the traditional PID control algorithm; In the hardware part, takes the TMS320F2812DSP TI company as mainly control chip, finishes the fluorine carbon spraying bake temperature control system hardware design, this part includes DSP buffer circuit, keyboard circuit, display circuit, syetem given circuit, realtime temperature detecting detection circuit, D/A circuit, protect circuit; In the software part, used ccs3.3 as the development environment,finished the control project design,this source program includes main program module, Sampling interrupt module,initialization module, the keyboard module, display modules,protcet module and alarm module.
Finally, the system was studied, the experimental result was gave, and the result were ideal and reached the performance index of the control system,at the same time, the error of the system in the action work was analyzed.
Keywords: fluorine carbon spraying, RBF; Smith, PID; DSP；const temperature control
目 录
摘 要 I
Abstract III
第1章 绪论 1
1.1 课题的理论意义和实用价值 1
1.2 本课题国内、外研究现状与发展趋势 3
1.2.1 国内现状 3
1.2.2 国外现状 4
1.2.3 发展趋势 4
1.3 课题的研究内容与研究方法 5
第2章 氟碳喷涂烘道恒温控制系统简介 6
2.1 氟..
