This work presents a control scheme for simultaneous control of the speed of Switched Reluctance Motor (SRM) and minimizing the torque ripple employing Hybrid Many Optimizing Liasion Gravitational Search Algorithm (Hybrid MOLGSA) technique. The control mechanism includes two controlling loops, the outer loop is governed for speed control and a current controller for the inner loop, intelligent selection of turn on and turn off angle for a 60 KW, 3-phase 6/8 SRM.. It is noticed that the torque ripple coefficient, ISE of speed & current are reduced by 12.81%, 38.60 %, 16.74% respectively by Hybrid MOLGSA algorithm compared to Gravitational Search Algorithm (GSA) algorithm. It is also observed that the settling times for the controller using the parameter values for obtaining best values of torque ripple, Integral square error of speed and current are reduced by 51.25%, 58.04 % and 59.375 % by proposed Hybrid MOLGSA algorithm compared to the GSA algorithm. Keywords: Switch reluctance motor (SRM); Proportional integral (PI) controller; Torque ripple; Many optimizing liaison (MOL); Gravitational search algorithm (GSA).
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work presents a control scheme for simultaneous control of the speed of Switched Reluctance Motor (SRM) and minimizing the torque ripple employing Hybrid Many Optimizing Liasion Gravitational Search Algorithm (Hybrid MOLGSA) technique. The control mechanism includes two controlling loops, the outer loop is governed for speed control and a current controller for the inner loop, intelligent selection of turn on and turn off angle for a 60 KW, 3-phase 6/8 SRM. It is noticed that the torque ripple coefficient, ISE of speed & current are reduced by 12.81%, 38.60 %, 16.74% respectively by Hybrid MOLGSA algorithm compared to Gravitational Search Algorithm (GSA) algorithm. It is also observed that the settling times for the controller using the parameter values for obtaining best values of torque ripple, Integral square error of speed and current are reduced by 51.25%, 58.04 % and 59.375 % by proposed Hybrid MOLGSA algorithm compared to the GSA algorithm. Keywords: Switch reluctance motor (SRM); Proportional integral (PI) controller; Torque ripple; Many optimizing liaison (MOL); Gravitational search algorithm (GSA). 52 pp. Englisch. N° de réf. du vendeur 9783330048584
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. N° de réf. du vendeur 3330048581
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saha NutanNutan Saha, Assist. Prof. at Electrical Engineering Department at the Veer Surendra Sai University of Technology, India. She obtained M.E. Degree at Bengal Engineering and Science University, Kolkata, India. Nutan Saha ha. N° de réf. du vendeur 151234529
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work presents a control scheme for simultaneous control of the speed of Switched Reluctance Motor (SRM) and minimizing the torque ripple employing Hybrid Many Optimizing Liasion Gravitational Search Algorithm (Hybrid MOLGSA) technique. The control mechanism includes two controlling loops, the outer loop is governed for speed control and a current controller for the inner loop, intelligent selection of turn on and turn off angle for a 60 KW, 3-phase 6/8 SRM. It is noticed that the torque ripple coefficient, ISE of speed & current are reduced by 12.81%, 38.60 %, 16.74% respectively by Hybrid MOLGSA algorithm compared to Gravitational Search Algorithm (GSA) algorithm. It is also observed that the settling times for the controller using the parameter values for obtaining best values of torque ripple, Integral square error of speed and current are reduced by 51.25%, 58.04 % and 59.375 % by proposed Hybrid MOLGSA algorithm compared to the GSA algorithm. Keywords: Switch reluctance motor (SRM); Proportional integral (PI) controller; Torque ripple; Many optimizing liaison (MOL); Gravitational search algorithm (GSA).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9783330048584
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work presents a control scheme for simultaneous control of the speed of Switched Reluctance Motor (SRM) and minimizing the torque ripple employing Hybrid Many Optimizing Liasion Gravitational Search Algorithm (Hybrid MOLGSA) technique. The control mechanism includes two controlling loops, the outer loop is governed for speed control and a current controller for the inner loop, intelligent selection of turn on and turn off angle for a 60 KW, 3-phase 6/8 SRM. It is noticed that the torque ripple coefficient, ISE of speed & current are reduced by 12.81%, 38.60 %, 16.74% respectively by Hybrid MOLGSA algorithm compared to Gravitational Search Algorithm (GSA) algorithm. It is also observed that the settling times for the controller using the parameter values for obtaining best values of torque ripple, Integral square error of speed and current are reduced by 51.25%, 58.04 % and 59.375 % by proposed Hybrid MOLGSA algorithm compared to the GSA algorithm. Keywords: Switch reluctance motor (SRM); Proportional integral (PI) controller; Torque ripple; Many optimizing liaison (MOL); Gravitational search algorithm (GSA). N° de réf. du vendeur 9783330048584
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Speed control with torque ripple reduction of SRM by hybrid MOLGSA | Nutan Saha | Taschenbuch | 52 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330048584 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 108561953
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