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Hot and cold water mixing system decoupling control research and implementation

Author: SunDeYuan
Tutor: CuiBaoXia
School: Shenyang University of Technology
Course: Control Theory and Control Engineering
Keywords: Multivariable systems Decoupling Control Hot and cold water mixing system Neural Network
CLC: TP273
Type: Master's thesis
Year: 2012
Downloads: 62
Quote: 0
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Abstract


Since the industrial production of the controlled object is often associated with each other multi-input multi-output system, thus coupling is common in industrial production, a phenomenon. In order to obtain satisfactory control performance, usually for multivariable decoupling control system implementation. At present the traditional decoupling control algorithm and adaptive decoupling control algorithm theory is relatively mature, and in the industrial production site to a certain degree of application, but the two methods due to their shortcomings, thus limiting its industrial site widely used. Neural network decoupling control of more in-depth theoretical study, but the application of neural network decoupling control is not yet mature, the application of neural network decoupling control theory behind the issues to be resolved. Fieldbus technology, has led to the traditional control system structure changes, but also makes neural network decoupling control in the field of applications possible. Therefore, this article in the traditional decoupling control algorithm and neural network decoupling control algorithm research, it is also exploring the theoretical research for advanced control system approach for neural network decoupling control applied to industrial production to provide useful practical experience. According to statistics, at present the use of neural network control applications, 90% is used in BP network or its variations. BP neural network is a forward-type core of the network, with a wide range of adaptability and effectiveness. In this paper, the traditional diagonal matrix decoupling control algorithm based on neural network decoupling control algorithm conducted in-depth research, based on BP neural network decoupling established a multivariable PID neural network decoupling control makers. Hot and cold water mixing system is based THFCS-1 fieldbus process control platform of the classic process control system, wherein the temperature and level strong coupling between the large inertial properties. In this paper, system device, first established mathematical model, and then using Siemens S7-300 PLC hardware and software equipment, design of decoupling control system and monitoring system, based on a diagonal matrix decoupling control algorithm and PID neural network decoupling control algorithm understanding, so that two kinds of decoupling on the device implementation. The results show that: the proposed PID neural network control algorithm can be hot and cold water mixing system for effective decoupling control, and more than a diagonal matrix decoupling has a better performance, with a certain value.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
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