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Research On Controller Algorithm Based On Cloud Model

Posted on:2015-03-17Degree:MasterType:Thesis
Country:ChinaCandidate:M LiFull Text:PDF
GTID:2298330452968069Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
In the field of control technology, it is necessary to build a precise mathematicalmodel to improve the stability, rapidly, and accurateness of the controlled object whichin a control system. However, the mathematical model can not be build ideally becauseof the disadvantages, so a precise control system is often based on a long-term workwhich is related to the experience of researchers. More or less, some uncertaindisadvantages always accompany with the actual production, that often makes thesystem assume a random or fuzzy fashion. In the context of this condition, cloud modelis built to express the qualitative concept and the corresponding quantitative valueswhen switch by language values, and it also shows the indeterminacy of naturallanguage. Under the external input, the control system can be achieved by uncertainRules of the qualitative concept which from the cloud model. In this paper, the mainresearch is about how to build a cloud model based control system which obeys thenormal distribution between qualitative concept and quantitative values, that the normaldistribution is always exist in complex society of natural world.Whatever the description language is qualitative concept of a random event orcontrol system is not always display a simple mapping relationship, that is, the conceptis decided by more than one details from different value. By study the main theory ofcloud model, the research of paper designs a multi-dimensional normal cloud model thatcan be switch between qualitative concept and multiple value details. The mathematicalexpression of multi-dimensional normal cloud model has been proved correct, andverifies by using constant which is plugged into the cloud model in this paper. Studyand design the mapping algorithm and structure of a multi-Rule normal cloud model, then built a one-dimensional normal cloud model and use it in a tank liquid level controlsystem, and expand the algorithm to multi-dimensional normal cloud model then get themulti based algorithm.
Keywords/Search Tags:Cloud model, Normal distribution, Controller, Liquid level
PDF Full Text Request
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