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Real time fuzzy logic and PID implem...

Eyabi, Peter Bejoum.

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Real time fuzzy logic and PID implementation and control in Labview.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Real time fuzzy logic and PID implementation and control in Labview./
Author:	Eyabi, Peter Bejoum.
Description:	73 p.
Notes:	Adviser: Hank Pernicka.
Contained By:	Masters Abstracts International37-05.
Subject:	Artificial Intelligence. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1394517
ISBN:	0599304766

Real time fuzzy logic and PID implementation and control in Labview.
Eyabi, Peter Bejoum.

Real time fuzzy logic and PID implementation and control in Labview. - 73 p.

Adviser: Hank Pernicka.

Thesis (M.S.)--San Jose State University, 1999.

Each controller will be subjected to a large disturbance input. The process to be controlled does not have an accurate transfer function.

ISBN: 0599304766Subjects--Topical Terms:

769149
Artificial Intelligence.

Real time fuzzy logic and PID implementation and control in Labview.
LDR:02211nam 2200337 a 45 001 933212
005 20110505
008 110505s1999 eng d
020 $a 0599304766
035 $a (UnM)AAI1394517
035 $a AAI1394517
040 $a UnM $c UnM
100 1 $a Eyabi, Peter Bejoum. $3 1256950
245 1 0 $a Real time fuzzy logic and PID implementation and control in Labview.
300 $a 73 p.
500 $a Adviser: Hank Pernicka.
500 $a Source: Masters Abstracts International, Volume: 37-05, page: 1508.
502 $a Thesis (M.S.)--San Jose State University, 1999.
520 $a Each controller will be subjected to a large disturbance input. The process to be controlled does not have an accurate transfer function.
520 $a Fuzzy Logic controllers with different characteristics will be designed in Matlab (control systems design software). The process to be controlled is that of a paper-stock flow box (paper manufacturing machine flowbox).
520 $a The scope of this thesis will be limited to the investigation and comparison of the characteristics and performances of Fuzzy Logic Control to those of Proportional, Integral and Derivative Control (PID), in different control applications. The controller performance and characteristics will be analyzed through computer simulation, and real time implementation.
520 $a Implementation of fuzzy logic control will be by a data acquisition board, to control the temperature of an aluminum plate, subjected to external disturbances. A fuzzy logic controller will be designed and implemented in Labview$\sp{\rm TM}$ (data acquisition software).
520 $a Simulation results demonstrate that fuzzy logic controllers are faster in response, compared to the PID. The number of rules, as well as the degree of overlap of membership functions affect controller output. There is need for more extensive research in the area of fuzzy logic implementation.
590 $a School code: 6265.
650 4 $a Artificial Intelligence. $3 769149
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0544
690 $a 0548
690 $a 0800
710 2 0 $a San Jose State University. $3 1020800
773 0 $t Masters Abstracts International $g 37-05.
790 $a 6265
790 1 0 $a Pernicka, Hank, $e advisor
791 $a M.S.
792 $a 1999
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1394517