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Modeling and control of micro gas turbine with pmsg using evolutionary computational techniques / Islam Ahmed Mustafa Ahmed ; Supervised M. A. Mustafa Hassan , M. E. Ammar

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Islam Ahmed Mustafa Ahmed , 2016Description: 120 P. : photographs ; 30cmOther title:
  • النمذجة و التحكم لمولد الغاز التوربينى الصغير باستخدام التقنيات الحاسوبية المتطورة [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines Summary: This research studies modeling and control of micro gas turbine with PD controller. The research investigate the behavior of micro Gas turbine with PMSG under load variations using different controllers .Most of these controllers are based on evolutionary computational techniques (ECT), among these evolutionary computational techniques, genetic algorithm (GA), particle swarm optimization (PSO), and adaptive accelerated coefficients particle swarm optimization (AACPSO). In this study, PD parameters are defined using a conventional PD controller tuned by ziegler-nicholas technique. The conventional controller compared with (ECT). Simulation results show that the response of the PSO-fuzzy like PD, AACPSO-fuzzy like PD, and AACPSO-PD controller is effectively improved compared with other controllers. The effectiveness of the proposed scheme is confirmed via extensive study using MATLAB-Simulink software
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2016.Is.M (Browse shelf(Opens below)) Not for loan 01010110071553000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2016.Is.M (Browse shelf(Opens below)) 71553.CD Not for loan 01020110071553000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines

This research studies modeling and control of micro gas turbine with PD controller. The research investigate the behavior of micro Gas turbine with PMSG under load variations using different controllers .Most of these controllers are based on evolutionary computational techniques (ECT), among these evolutionary computational techniques, genetic algorithm (GA), particle swarm optimization (PSO), and adaptive accelerated coefficients particle swarm optimization (AACPSO). In this study, PD parameters are defined using a conventional PD controller tuned by ziegler-nicholas technique. The conventional controller compared with (ECT). Simulation results show that the response of the PSO-fuzzy like PD, AACPSO-fuzzy like PD, and AACPSO-PD controller is effectively improved compared with other controllers. The effectiveness of the proposed scheme is confirmed via extensive study using MATLAB-Simulink software

Issued also as CD

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