Rameshkumar angamuthu (6 résultats)

Taschenbuch. Etat : Neu. Analysis and Design of Quasi Resonant Buck Converter | An Analysis Of Linear And Non Linear Controller On Quasi Resonant Buck Converter | Angamuthu Rameshkumar | Taschenbuch | 348 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659972867 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Paperback. Etat : Brand New. 348 pages. 8.66x5.91x0.79 inches. In Stock.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Quasi Resonant Buck Converter is analysed using Generalized State Space Averaging method to obtain transfer function. A PI control algorithm is designed to obtain the closed-loop performance of 54V, 2.916kW Converter with respect to line and load regulation. Evaluation of output is performed by MATLAB software at 200 kHz and results are depicted for five operating conditions where peak overshoot and settling time are used to measure the dynamic performance of converter. It is verified that PI controller optimized for a small-signal transient at an operating condition offers good dynamic performance; however, for large-signal disturbances, it is observed that Fuzzy control yields good rejection ability for supply and load disturbances. However, standard method doesn't exist for transformation of expert's knowledge into rule and database of a fuzzy system and necessity arises to use an algorithm on Neuro-fuzzy integrated system. It is verified that Neuro controller is superior to PI or Fuzzy controller resulting in good transient response under various operating conditions. Experimental results for PI control algorithm are in agreement with simulation. 348 pp. Englisch.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rameshkumar AngamuthuA.Rameshkumar received his B.E Degree in Electrical Engineering in April 1988 and M.E Degree in Applied Electronics in 1996 from Bharathiar University, Coimbatore. He obtained his Doctoral degreein Electrical En. …

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Quasi Resonant Buck Converter is analysed using Generalized State Space Averaging method to obtain transfer function. A PI control algorithm is designed to obtain the closed-loop performance of 54V, 2.916kW Converter with respect to line and load regulation. Evaluation of output is performed by MATLAB software at 200 kHz and results are depicted for five operating conditions where peak overshoot and settling time are used to measure the dynamic performance of converter. It is verified that PI controller optimized for a small-signal transient at an operating condition offers good dynamic performance; however, for large-signal disturbances, it is observed that Fuzzy control yields good rejection ability for supply and load disturbances. However, standard method doesn't exist for transformation of expert's knowledge into rule and database of a fuzzy system and necessity arises to use an algorithm on Neuro-fuzzy integrated system. It is verified that Neuro controller is superior to PI or Fuzzy controller resulting in good transient response under various operating conditions. Experimental results for PI control algorithm are in agreement with simulation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 348 pp. Englisch.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Quasi Resonant Buck Converter is analysed using Generalized State Space Averaging method to obtain transfer function. A PI control algorithm is designed to obtain the closed-loop performance of 54V, 2.916kW Converter with respect to line and load regulation. Evaluation of output is performed by MATLAB software at 200 kHz and results are depicted for five operating conditions where peak overshoot and settling time are used to measure the dynamic performance of converter. It is verified that PI controller optimized for a small-signal transient at an operating condition offers good dynamic performance; however, for large-signal disturbances, it is observed that Fuzzy control yields good rejection ability for supply and load disturbances. However, standard method doesn't exist for transformation of expert's knowledge into rule and database of a fuzzy system and necessity arises to use an algorithm on Neuro-fuzzy integrated system. It is verified that Neuro controller is superior to PI or Fuzzy controller resulting in good transient response under various operating conditions. Experimental results for PI control algorithm are in agreement with simulation.…