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Using proportional integral derivati...

Alghannam, Abdulrhman Uthman.

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Using proportional integral derivative and fuzzy logic with optimization for greenhouse climate control.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Using proportional integral derivative and fuzzy logic with optimization for greenhouse climate control./
Author:	Alghannam, Abdulrhman Uthman.
Description:	120 p.
Notes:	Source: Dissertation Abstracts International, Volume: 61-11, Section: B, page: 5983.
Contained By:	Dissertation Abstracts International61-11B.
Subject:	Engineering, Agricultural. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9994008
ISBN:	0493020799

Using proportional integral derivative and fuzzy logic with optimization for greenhouse climate control.
Alghannam, Abdulrhman Uthman.

Using proportional integral derivative and fuzzy logic with optimization for greenhouse climate control. - 120 p.

Source: Dissertation Abstracts International, Volume: 61-11, Section: B, page: 5983.

Thesis (Ph.D.)--University of Idaho, 2000.

Different greenhouse control systems were studied for their efficiency. One of the fastest growing technologies in control systems is fuzzy logic. Therefore, research is needed to study the accuracy of this system compared to Proportional-Integral-Derivative control system of greenhouse. In this research fuzzy logic controller was tested theoretically and experimentally compared with four Proportional-Integral-Derivative controllers settings namely, P, PI, PD, and PID in terms of their accuracy and feasibility to control greenhouse climate. An optimization procedure was used to determine the best control parameters for PID and fuzzy logic controllers. Five tests were conducted to cool the greenhouse using evaporative cooling system during the summer season. Results of the research indicated that PI and PD controllers were the most efficient controllers based on overshoot and maximum and minimum error from the set point. However, the fuzzy logic controller made the closest mean to the set point. No significant difference was noticed between the control behavior of fuzzy logic controller and the PID controllers. Therefore, fuzzy logic controller is considered an equivalent and alternative to PID controller in greenhouse climate control.

ISBN: 0493020799Subjects--Topical Terms:

1019504
Engineering, Agricultural.

Using proportional integral derivative and fuzzy logic with optimization for greenhouse climate control.
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100 1 $a Alghannam, Abdulrhman Uthman. $3 1905853
245 1 0 $a Using proportional integral derivative and fuzzy logic with optimization for greenhouse climate control.
300 $a 120 p.
500 $a Source: Dissertation Abstracts International, Volume: 61-11, Section: B, page: 5983.
500 $a Major Professor: James DeShazer.
502 $a Thesis (Ph.D.)--University of Idaho, 2000.
520 $a Different greenhouse control systems were studied for their efficiency. One of the fastest growing technologies in control systems is fuzzy logic. Therefore, research is needed to study the accuracy of this system compared to Proportional-Integral-Derivative control system of greenhouse. In this research fuzzy logic controller was tested theoretically and experimentally compared with four Proportional-Integral-Derivative controllers settings namely, P, PI, PD, and PID in terms of their accuracy and feasibility to control greenhouse climate. An optimization procedure was used to determine the best control parameters for PID and fuzzy logic controllers. Five tests were conducted to cool the greenhouse using evaporative cooling system during the summer season. Results of the research indicated that PI and PD controllers were the most efficient controllers based on overshoot and maximum and minimum error from the set point. However, the fuzzy logic controller made the closest mean to the set point. No significant difference was noticed between the control behavior of fuzzy logic controller and the PID controllers. Therefore, fuzzy logic controller is considered an equivalent and alternative to PID controller in greenhouse climate control.
590 $a School code: 0089.
650 4 $a Engineering, Agricultural. $3 1019504
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710 2 0 $a University of Idaho. $3 718915
773 0 $t Dissertation Abstracts International $g 61-11B.
790 1 0 $a DeShazer, James, $e advisor
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791 $a Ph.D.
792 $a 2000
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9994008