摘要：液位控制在工业生产中应用极为广泛，在能源、化工等领域中也普遍使用着液位控制系统。但是其自身带有的控制过程变量较多、滞后大等特点都成为它的控制过程中的不稳定因素。

本课题所研究的问题是基于西门子S7-400可编程控制器（PLC）的液位控制系统的控制方案设计。设计方案中采用的算法是自适应PID神经网络算法来实现液位的自动控制。课题首先根据液位控制系统建立系统的数学模型，研究液位系统控制器的算法。然后确定控制器算法后需要根据系统设计进行系统硬件的选型。选型完成之后根据硬件型号的参数完成液位系统硬件组态的配置。通过AS站和OS站的配置，完成了硬件组态和网络组态的配置，最后编写PCS7与SMPT-1000通讯的模块PM125的通讯程序。实现了硬件与软件的通讯连接，搭建能够实现自适应PID神经网络算法的输入输出模块和控制模块，得到液位控制响应曲线图，从实时曲线图验证了系统的控制效果。

关键词：PLC；液位控制；西门子；神经网络

摘要：液位控制在工业生产中应用极为广泛，在能源、化工等领域中也普遍使用着液位控制系统。但是其自身带有的控制过程变量较多、滞后大等特点都成为它的控制过程中的不稳定因素。

本课题所研究的问题是基于西门子S7-400可编程控制器（PLC）的液位控制系统的控制方案设计。设计方案中采用的算法是自适应PID神经网络算法来实现液位的自动控制。课题首先根据液位控制系统建立系统的数学模型，研究液位系统控制器的算法。然后确定控制器算法后需要根据系统设计进行系统硬件的选型。选型完成之后根据硬件型号的参数完成液位系统硬件组态的配置。通过AS站和OS站的配置，完成了硬件组态和网络组态的配置，最后编写PCS7与SMPT-1000通讯的模块PM125的通讯程序。实现了硬件与软件的通讯连接，搭建能够实现自适应PID神经网络算法的输入输出模块和控制模块，得到液位控制响应曲线图，从实时曲线图验证了系统的控制效果。

关键词： PLC；液位控制；西门子；神经网络

Design of liquid level control system based on PLC

Abstract: Liquid level control is widely used in industrial production,and also in energy,chemical industry and other fields.However,variable characteristics of the control process and large lag time have become the unstable factors in the control process.

The problem of this subject is the design of the control scheme of the liquid level control system based on SIEMENS S7-400 programmable controller (PLC). The algorithm used in the design is adaptive PID neural network algorithm to realize automatic control of liquid level. Firstly, the mathematical model of the liquid level control system is established to study the algorithm of the liquid level system controller. Then, after determining the controller algorithm, we need to select the hardware of the system according to the system design. After completing the selection, the configuration of the hardware configuration of the liquid level system is completed according to the parameters of the hardware model. Through the configuration of AS station and OS station, the configuration of hardware configuration and network configuration is completed. Finally, the communication program of module PM125 of PCS7 and SMPT-1000 communication is written. The communication connection between hardware and software is realized, and the input and output module and control module can be built to realize the adaptive PID neural network algorithm. The response curve of the liquid level control is obtained, and the control effect of the system is verified by the real time graph.

Keywords: PLC; Liquid Level Control; Siemens; Neural network

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Abstract i

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