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The Computer Control System Design And Process Monitoring Model Of Micro Beer Production Line

Posted on:2016-01-09Degree:MasterType:Thesis
Country:ChinaCandidate:G Y BaiFull Text:PDF
GTID:2298330467488087Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The process of modern industrial production is generally a nonlinear, time-varying, strong coupling and complex system. It is difficult to establish a preciseprocess monitoring and analyzing model. With the development of sensor andcomputer technology, the control system can record large amount of data, whichlays the foundation for the establishment of the statistical analysis model ofproduction process monitoring. This paper takes the typical batch process object----beer fermentation as the object, studying batch process fault diagnosis andmonitoring model, and the control algorithm of fermentation process. The maincontents and work of this research are as follows:1. On the basis of a thorough research on the beer fermentation technology andproduction equipment, to improve the design based on the original control system,it mainly to solve the problem of the original system control switch, usingrefrigerant continuously adjustable manner as an alternative to improve controlaccuracy greatly. It relates to the controller design, structure design, and theparameters of original control system of transmission and the coordinatedcontrol problem. The improved system uses a pump multi tank model on thetemperature control.2. Aiming at the characteristic of batch fermentation process of slow time-varying and nonlinear, with nuclear theory as a foundation, improving the kernelprincipal component analysis algorithm, to derivative fault detection algorithm ofminimum based on kernel principal component analysis, and further promotion ofmultiway kernel principal component analysis algorithm and segmented multikernelprincipal component analysis algorithm. The above methods by introducingnonlinear kernel function, we can fully extract the nonlinear information existing in the process and calculate the principal element in the high-dimensional feature spaceeffectively, and the research results can be applied to beer fermentation processmonitoring.3. According to the control of beer fermentation temperature process hascharacteristics of large inertia, large delay and nonlinear, this paper improves the PIDcontroller, designs an improved PID controller based on fuzzy theory, and verifiesthe control effect of this controller by MATLAB simulation.
Keywords/Search Tags:beer fermentation, process monitoring, kernel principal componentanalysis, fuzzy PID controller
PDF Full Text Request
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