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Fractional-order adaptive fuzzy logic control / Meena Elia Samouil Girgis ; Supervised Ragia I. Badr

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Meena Elia Samouil Girgis , 2020Description: 97 P. : facimiles ; 30cmOther title:
  • الرتبة الكسرية لمتحكم المنطق المشوش المتوائم [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications Summary: In this thesis, an Optimal Fractional-order Adaptive Fuzzy Logic Control (OFO-AFLC) is proposed. It is based on merging the FO to AFLC and driving the adaptation laws using Lyapunov stability and FO lemmas. Noteworthy, the FO and the adaptation gains are chosen optimally using Particle Swarm Optimization (PSO) algorithm. The Proposed OFO-AFLC has been applied to unstable and nonlinear system such as the inverted pendulum system in the presence of disturbance. The proposed OFO-AFLC has achieved a superiority over the conventional AFLC. Moreover, an Optimal Fractional-order PID (OFO-PID) control is developed and applied to a Tokamak fusion reactor as a case study on FO calculus efficiency in improving the conventional controller performance.The proposed OFO-PID has given superior results when compared to other competitive controllers especially in the cases of adding disturbance and variations in the reactor model parameters
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Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.Ph.D.2020.Me.F (Browse shelf(Opens below)) Not for loan 01010110082428000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.Ph.D.2020.Me.F (Browse shelf(Opens below)) 82428.CD Not for loan 01020110082428000

Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications

In this thesis, an Optimal Fractional-order Adaptive Fuzzy Logic Control (OFO-AFLC) is proposed. It is based on merging the FO to AFLC and driving the adaptation laws using Lyapunov stability and FO lemmas. Noteworthy, the FO and the adaptation gains are chosen optimally using Particle Swarm Optimization (PSO) algorithm. The Proposed OFO-AFLC has been applied to unstable and nonlinear system such as the inverted pendulum system in the presence of disturbance. The proposed OFO-AFLC has achieved a superiority over the conventional AFLC. Moreover, an Optimal Fractional-order PID (OFO-PID) control is developed and applied to a Tokamak fusion reactor as a case study on FO calculus efficiency in improving the conventional controller performance.The proposed OFO-PID has given superior results when compared to other competitive controllers especially in the cases of adding disturbance and variations in the reactor model parameters

Issued also as CD

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