PID controller based on artificial intelligence : Applied to different models / Ahmed Abdelhaleem Mohammed Salem ; Supervised Mohamed A. M. Hassan , Mohamed E. Ammar
Material type:
TextLanguage: English Publication details: Cairo : Ahmed Abdelhaleem Mohammed Salem , 2014Description: 138 P. : charts ; 30cmOther title: - المتحكم التناسبي التكاملي التفاضلي المعتمد علي الذكاء الإصطناعي : مع التطبيق علي نماذج مختلفة [Added title page title]
- Issued also as CD
| Item type | Current library | Home library | Call number | Copy number | Status | Barcode | |
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Thesis
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.07.M.Sc.2014.Ah.P (Browse shelf(Opens below)) | Not for loan | 01010110065911000 | ||
CD - Rom
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.07.M.Sc.2014.Ah.P (Browse shelf(Opens below)) | 65911.CD | Not for loan | 01020110065911000 |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines
The PID controllers are the most commonly used controller structures in industry. The main challenge is in the aspect of tuning of the gains. There are several traditional techniques introduced by Ziegler and Nichols but it is inefficient. In this thesis, it is proposed that the PID controller tuned based on the Artificial Intelligence techniques (the GAs, the Improved Genetic Algorithms and finally the PSO). Then applied all techniques to different applications (DC-Motor and AVR System), from the results the techniques based on Artificial intelligence are better than traditional techniques
Issued also as CD
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