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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.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Real time fuzzy logic and PID implementation and control in Labview./
作者:
Eyabi, Peter Bejoum.
面頁冊數:
73 p.
附註:
Adviser: Hank Pernicka.
Contained By:
Masters Abstracts International37-05.
標題:
Artificial Intelligence. -
電子資源:
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.
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Real time fuzzy logic and PID implementation and control in Labview.
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Thesis (M.S.)--San Jose State University, 1999.
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Each controller will be subjected to a large disturbance input. The process to be controlled does not have an accurate transfer function.
520
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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
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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
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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
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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.
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School code: 6265.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1394517
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