Speed control with torque ripple reduction of SRM by hybrid MOLGSA
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Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Agrios-Buch [57449362], Bergisch Gladbach, Germany.
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.

Lieferung aus: Deutschland, Lieferzeit: 7 Tage.
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).

Lieferung aus: Schweiz, Lieferzeit: 2 Tage, zzgl. Versandkosten.
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).

Lieferung aus: Deutschland, Versandkostenfrei.
Speed control with torque ripple reduction of SRM by hybrid MOLGSA: 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). Englisch, Taschenbuch.

Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
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 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). Lieferzeit 1-2 Werktage.