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Development And Application Of Software Auto-acquiring Control Rules Based On Rough Set Theory

Posted on:2009-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y H HuFull Text:PDF
GTID:2178360245472899Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Nowadays, it is the era of information explosion. How to mine latent and valuable information from massive,chaotic,and strong jamming data which is unprecedented challenge to humanity's information-handling capacity.Therefore , new fields of artificial intelligence are produced that are Data Mining (DM) and database knowledge discovery (KDD).Among many ways of DM and KDD, rough set theory (RST) is a effective way, which is a kind of new mathematical tool of soft computing. Inaccurate, inconsistent ,incomplete, and other incomplete Data can be processed by RST.Some useful knowledge can be extracted from a data sample applying RST. From there so far, RST has been successfully applied in many areas. However, with the data sample size enlargement , it will be very difficult (even impossible) to use artificial methods to acquire knowledge (rule set) in practical application,, so it is necessary to develop software method based on RST to extracte Rules from the data sample , so that RST can be well applied in practice.human being can make effective control to a complicated system and it is possible to use RST to withdraw control rules from person's control behavioural data.The purpose of this paper is to develope a software based on RST which can automaticly get control rules from person's control behavioural data ,and the control rules are validated by actual control system.In order to complete the software , firstly, algorithm of RST is analyzed to obtain the goal of the software system.Then integrated system design is completed,which include system functional module division and database design used to store the data transfered between modules, the divided system include building, discretizating decision information table, reduction of discrete decision information table, taking and completizating the original ecision table. Human-computer interface and detailed modules design are completed. VC + + and SQL Server 2000 are used to realize the modules function and gain control rules automatically.In order to confirm the validity of the rules gained through the software, the control system of a single water-tank composed by inverter, AC motors, pumps and single water tank is adopted. a operator can maintain water level constant by adjusting converter's control voltage. firstly, person's control behavioural data is acquired by PCL-812PG. then,the software is used to withdraw the control rules from the data;thirdly,according to the rules,a humanoid intelligent controller is designed, then the system is controled by the controller. Experimental results show the controller can achieve certain guide posts and it is proved that the rules gained from software are effective.
Keywords/Search Tags:Rough Set Theory, Knowledge Acquisition, Humanoid Intelligent Controller
PDF Full Text Request
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