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微生物发酵过程中温度的检测与控制,2.13万字自己原创的毕业论文，仅在本站独家出售，重复率低，推荐下载使用摘要 温度的测量和控制在工业和农业生产过程中有着广泛的应用，尤其在生物发酵、化工、电力、石油、冶金等工业领域。温度的检测与控制对产品的质量和工业生产过程的顺利进行有着很大的影响。微生物发酵过程是一个具有时变性、随机性...
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微生物发酵过程中温度的检测与控制
2.13万字
自己原创的毕业论文，仅在本站独家出售，重复率低，推荐下载使用
摘要 温度的测量和控制在工业和农业生产过程中有着广泛的应用，尤其在生物发酵、化工、电力、石油、冶金等工业领域。温度的检测与控制对产品的质量和工业生产过程的顺利进行有着很大的影响。微生物发酵过程是一个具有时变性、随机性和多变量耦合的动态过程，影响因素复杂，参数相关性严重，因此要求系统具有较高的实时性。随着微电子和嵌入式技术的迅猛发展以及自动控制理论的不断完善，温度控制系统也正朝着更加智能化的方向发展。
本文在研究了目前国内外温度控制现状的基础上，提出了一种基于ARM的模糊自适应温度控制系统。在硬件上，系统采用微处理器ARM11 S3C6410作为主控制芯片，对温度检测、D/A数据转换、显示模块、存储模块、通信模块、和电源模块等硬件电路进行了设计。在软件上，移植了嵌入式实时操作系统Linux，对温度检测模块、D/A数据转换模块及控制算法等应用程序进行了开发设计。在算法上，本文采用模糊自适应控制算法对温度进行控制，针对非线性、时变性、大滞后的发酵过程，建立了温度控制系统的仿真模型，对常规控制和模糊自适应控制进行了仿真分析。结果表明：模糊自适应PID和传统PID控制相比，超调量小，调节时间短，振荡周期短；控制对象的参数发生变化时，系统响应快，能较迅速稳定；另外系统的静态特性和动态特性也得到了明显的提高。本设计把PID控制的灵活性、简便性与模糊控制的鲁棒性融为一体，获得了更好的控制效果，满足了系统较高的实时性要求。
关键词：温度控制系统 ARM Linux 模糊
Temperature Detection and Control in the Microorganism Fermentation Process
Abstract Temperature detection and control has been widely used in industrial and agricultural production, especially in bio-fermentation, chemical, electric power, petroleum, metallurgy and other industries. Temperature detection and control has a great influence on the quality of the product and industrial production process which go on smoothly. Microbial fermentation process is a dynamic process with time-varying, random and Multivariable coupling. There are complicated factors and serious parameter correlation, and therefore it requires a system with high real-time. With the rapid development of microelectronics and embedded technology and the constant improvement of automatic control theory, the temperature control system is also moving towards a more intelligent direction.
Based on the research of the current temperature control status both at home and abroad, this paper proposes a fuzzy self-tuning PID temperature control system based on ARM. In hardware, the system adopts microprocessor ARM11 S3C6410 as the main control chip. The temperature detection, D / A data conversion, display module, memory modules, communication modules, power modules and other hardware circuit have been designed. In software, the embedded real-time operating system Linux is transplanted and temperature detection module, D/A data conversion module, control algorithm and other applications have been designed. In the algorithm, fuzzy control algorithm is used for temperature control. According to nonlinear, time-varying, large lag fermentation process, the simulation model of temperature control system is established and the conventional PID control and fuzzy self-tuning PID control are analyzed in the simulation. The results showed that: compared to the conventional PID, fuzzy self-tuning PID control has small amount of overshoot, the adjustment time and the oscillation period are both short; when the parameters of the controlled object change, the system responds quickly and can be stable immediately; on the other hand, the static characteristics and dynamic characteristics of the system have been significantly improved. The design with flexibility and simplicity of PID control, and the robustness of fuzzy control, has got better control effects and meet the higher requirements of real-time systems.
Keywords temperature control system ARM Linux fuzzy PID
目录
第一章 绪论 1
1.1 课题研究背景 1
1.2 国内外研究现状 2
1.3 研究意义 3
1.4 本文的主要工作 3
1.4.1研究目标 3
1.4.2主要内容 3
1.4.3整体设计方案 4
第二章 模糊PID控制策略研究 5
2.1 模糊控制原理 5
2.2 模糊自适应PID 6
2.2.1 模糊自适应PID概述 6
2.2.2 隶属度函数的建立 7
2.2.3 参数自整定原则 9
2.2.4 模糊控制规则表的建立 10
第三章 温控系统硬件设计 13
3.1 S3C6410 ARM1176JZF-S处理器 13
3.1.1 ARM概述 13
3.1.2 S3C6410简介 14
3.1.3 S3C6410 ARM11处理器 15
3.2 温度检测电路设计 16
3.2.1 温度传感器DS18B20简介 16
3.2.2 DS18B20的外形和内部结构 17
3.2.3 DS18B20工作原理 18
3.2.4 温度检测电路设计 19
3.3 D/A数据转换电路设计 19
3.4 显示模块设计 20
3.5 存储模块设计 21
3.6 通讯接..
2.13万字
自己原创的毕业论文，仅在本站独家出售，重复率低，推荐下载使用
摘要 温度的测量和控制在工业和农业生产过程中有着广泛的应用，尤其在生物发酵、化工、电力、石油、冶金等工业领域。温度的检测与控制对产品的质量和工业生产过程的顺利进行有着很大的影响。微生物发酵过程是一个具有时变性、随机性和多变量耦合的动态过程，影响因素复杂，参数相关性严重，因此要求系统具有较高的实时性。随着微电子和嵌入式技术的迅猛发展以及自动控制理论的不断完善，温度控制系统也正朝着更加智能化的方向发展。
本文在研究了目前国内外温度控制现状的基础上，提出了一种基于ARM的模糊自适应温度控制系统。在硬件上，系统采用微处理器ARM11 S3C6410作为主控制芯片，对温度检测、D/A数据转换、显示模块、存储模块、通信模块、和电源模块等硬件电路进行了设计。在软件上，移植了嵌入式实时操作系统Linux，对温度检测模块、D/A数据转换模块及控制算法等应用程序进行了开发设计。在算法上，本文采用模糊自适应控制算法对温度进行控制，针对非线性、时变性、大滞后的发酵过程，建立了温度控制系统的仿真模型，对常规控制和模糊自适应控制进行了仿真分析。结果表明：模糊自适应PID和传统PID控制相比，超调量小，调节时间短，振荡周期短；控制对象的参数发生变化时，系统响应快，能较迅速稳定；另外系统的静态特性和动态特性也得到了明显的提高。本设计把PID控制的灵活性、简便性与模糊控制的鲁棒性融为一体，获得了更好的控制效果，满足了系统较高的实时性要求。
关键词：温度控制系统 ARM Linux 模糊
Temperature Detection and Control in the Microorganism Fermentation Process
Abstract Temperature detection and control has been widely used in industrial and agricultural production, especially in bio-fermentation, chemical, electric power, petroleum, metallurgy and other industries. Temperature detection and control has a great influence on the quality of the product and industrial production process which go on smoothly. Microbial fermentation process is a dynamic process with time-varying, random and Multivariable coupling. There are complicated factors and serious parameter correlation, and therefore it requires a system with high real-time. With the rapid development of microelectronics and embedded technology and the constant improvement of automatic control theory, the temperature control system is also moving towards a more intelligent direction.
Based on the research of the current temperature control status both at home and abroad, this paper proposes a fuzzy self-tuning PID temperature control system based on ARM. In hardware, the system adopts microprocessor ARM11 S3C6410 as the main control chip. The temperature detection, D / A data conversion, display module, memory modules, communication modules, power modules and other hardware circuit have been designed. In software, the embedded real-time operating system Linux is transplanted and temperature detection module, D/A data conversion module, control algorithm and other applications have been designed. In the algorithm, fuzzy control algorithm is used for temperature control. According to nonlinear, time-varying, large lag fermentation process, the simulation model of temperature control system is established and the conventional PID control and fuzzy self-tuning PID control are analyzed in the simulation. The results showed that: compared to the conventional PID, fuzzy self-tuning PID control has small amount of overshoot, the adjustment time and the oscillation period are both short; when the parameters of the controlled object change, the system responds quickly and can be stable immediately; on the other hand, the static characteristics and dynamic characteristics of the system have been significantly improved. The design with flexibility and simplicity of PID control, and the robustness of fuzzy control, has got better control effects and meet the higher requirements of real-time systems.
Keywords temperature control system ARM Linux fuzzy PID
目录
第一章 绪论 1
1.1 课题研究背景 1
1.2 国内外研究现状 2
1.3 研究意义 3
1.4 本文的主要工作 3
1.4.1研究目标 3
1.4.2主要内容 3
1.4.3整体设计方案 4
第二章 模糊PID控制策略研究 5
2.1 模糊控制原理 5
2.2 模糊自适应PID 6
2.2.1 模糊自适应PID概述 6
2.2.2 隶属度函数的建立 7
2.2.3 参数自整定原则 9
2.2.4 模糊控制规则表的建立 10
第三章 温控系统硬件设计 13
3.1 S3C6410 ARM1176JZF-S处理器 13
3.1.1 ARM概述 13
3.1.2 S3C6410简介 14
3.1.3 S3C6410 ARM11处理器 15
3.2 温度检测电路设计 16
3.2.1 温度传感器DS18B20简介 16
3.2.2 DS18B20的外形和内部结构 17
3.2.3 DS18B20工作原理 18
3.2.4 温度检测电路设计 19
3.3 D/A数据转换电路设计 19
3.4 显示模块设计 20
3.5 存储模块设计 21
3.6 通讯接..
