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A study on L1 adaptive control / Nehal Mohamed Khames Mohamed ; Supervised Abdellatif Ragaei Elshafei , Hassan Mohamed Rashad

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Nehal Mohamed Khames Mohamed , 2014Description: 98 P. : charts , facsimiles ; 30cmOther title:
  • L1 دراسه لنظم التحكم المتوائمه من نوع [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines Summary: This thesis gives an overview on L1 adaptive control theory. It is powerful controlling tool for the systems contain large uncertainties. We develop a discrete proportional L1 adaptive controller version, which is more compatible for computerized systems. We apply this controller on a simple real servo motor. The servo system has unstructured uncertainties as we ignore the electric time constant in addition the nonlinearities of the overall servo system. Also we test the continuous controller in regulating a 5MW wind turbine speed at region 3. The generated power mean value reached to 98.8% and it shows improvement in power quality
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Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2014.Ne.S (Browse shelf(Opens below)) Not for loan 01010110063422000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2014.Ne.S (Browse shelf(Opens below)) 63422.CD Not for loan 01020110063422000

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

This thesis gives an overview on L1 adaptive control theory. It is powerful controlling tool for the systems contain large uncertainties. We develop a discrete proportional L1 adaptive controller version, which is more compatible for computerized systems. We apply this controller on a simple real servo motor. The servo system has unstructured uncertainties as we ignore the electric time constant in addition the nonlinearities of the overall servo system. Also we test the continuous controller in regulating a 5MW wind turbine speed at region 3. The generated power mean value reached to 98.8% and it shows improvement in power quality

Issued also as CD

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