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Research On Digital Control System For Fermentation Process Based On ARM9

Posted on:2011-06-09Degree:MasterType:Thesis
Country:ChinaCandidate:X L SunFull Text:PDF
GTID:2178360302993744Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
With the development of technology, foreground of biology fermentation will be much wider. In recent years, people are paying more and more attention to biology fermentation technology and fermentation equipments which are the foundation of biology technical industry. However the fermentation process is very complex and difficult to control. And along with the demand for growing produce, the demand for the presision of process control is becoming even higher. Thus it is very important to design a fermentation process control system, so as to increase produce efficiency and reduce industry cost.According to the profile of bio-fermentation process the current market requirement and the relative research at home and abroad. In allusion to time-varying, nonlinearity, time-lag and random of the biology Fermentation control process, the intelligent control technology is incorporated into the control system. Fermentation temperature, dissolved oxygen concentration and feeding quantity are very important parameter in the fermentation process, which not only affect cell growth, but also affect the formation product. For different objects and different fermentation capacity fermenters, there are relatively large changes in temperature. In order to achieve the system interoperability, fuzzy-PID algorithm is applyed to control the temperature. For bio-fermentation process, it is difficult to establish the mathematical model of dissolved oxygen concentration and feeding. Traditional control method is difficult to achieve good control results in the dissolved oxygen control system and feeding system .So fuzzy neural network control algorithm is employed. Fuzzy neural network solution control algorithm combines logic control techniques of fuzzy theory and self-learning ability of neural networks. And the improved fuzzy neural network algorithm is used in penicillin fermentation to achieve optimal control of dissolved oxygen and feeding system.ARM9 MPU-S3C2410A is used as the main control unit, which increased the operating speed and data handling capacity of the system. According to the function of the system,modules of parameter measure and network communication which collects data and monitors remotely are designed. In order to satisfy the demand of real-time ability and multitask management, build embedded Linux software platform. In the Linux platform,achieved biological fermentation paremeters real-time acquisition and controlling. Achieve remote monitoring through embedded internet in the Windows environment. Java development environment is built in the Windows environment,and Java Applet technology is used to access SQL database to achieve real-time monitoring of the digital control system.The focus of the work includes the measurement and control of main parements, the feeding control, the system design, embedded system design, application programme design and communication design. The fermentation digital control system can monitor and optimize the fermentation process on the real time. It not only avoid the uncertain factors in manual operation, raise the automation level,but also control the main parameter efficiently , intelligent feeding and remote control. It has important practical significance.
Keywords/Search Tags:biology fermentation, ARM9, embedded Linux, Fuzzy-PID, fuzzy neural network, embedded Internet
PDF Full Text Request
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