FIRING ANGLE OPTIMIZATION TO MAXIMIZE TORQUE PRODUCTION AND MINIMIZING TORQUE RIPPLE ON 5 KW 12/8 TYPE SWITCHED RELUCTANCE MOTOR USING GENETIC ALGORITHM

This final project discusses the optimization of turn on ?on and turn off ?off angles to control a 5 kW 12/8 Switched Reluctance Motor (SRM) by employing multi-objective Genetic Algorithm (GA). The optimization objectives are to maximize torque production while minimizing the ensued torque ripple...

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Bibliographic Details
Main Author:	Hidayat, Syahadatul
Format:	Final Project
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/53940
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Institution:	Institut Teknologi Bandung
Language:	Indonesia

id	id-itb.:53940
spelling	id-itb.:539402021-03-12T11:56:14ZFIRING ANGLE OPTIMIZATION TO MAXIMIZE TORQUE PRODUCTION AND MINIMIZING TORQUE RIPPLE ON 5 KW 12/8 TYPE SWITCHED RELUCTANCE MOTOR USING GENETIC ALGORITHM Hidayat, Syahadatul Indonesia Final Project Switched reluctance motor, genetic algorithm, multi-objective optimization, firing angles, torque, torque ripple. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/53940 This final project discusses the optimization of turn on ?on and turn off ?off angles to control a 5 kW 12/8 Switched Reluctance Motor (SRM) by employing multi-objective Genetic Algorithm (GA). The optimization objectives are to maximize torque production while minimizing the ensued torque ripple. Finite Element Analysis (FEA) is utilized to obtain the SRM’s static flux linkage and torque characteristics. The static characteristics are then used as the basis of SRM drive model for the firing angles (?on and ?off) optimization process. Based on the optimized firing angles obtained from the multi-objective optimization, the SRM’s performaces are characterized over a wide range of operating region. It has been found that by using the optimized firing angles the SRM can achieve rated power at 3000 rpm with current command of 90 A. A light electric vehicle (e-Trike) model also developed to estimate the capabilities of the said SRM and proposed control using the optimized firing angles. text
institution	Institut Teknologi Bandung
building	Institut Teknologi Bandung Library
continent	Asia
country	Indonesia Indonesia
content_provider	Institut Teknologi Bandung
collection	Digital ITB
language	Indonesia
description	This final project discusses the optimization of turn on ?on and turn off ?off angles to control a 5 kW 12/8 Switched Reluctance Motor (SRM) by employing multi-objective Genetic Algorithm (GA). The optimization objectives are to maximize torque production while minimizing the ensued torque ripple. Finite Element Analysis (FEA) is utilized to obtain the SRM’s static flux linkage and torque characteristics. The static characteristics are then used as the basis of SRM drive model for the firing angles (?on and ?off) optimization process. Based on the optimized firing angles obtained from the multi-objective optimization, the SRM’s performaces are characterized over a wide range of operating region. It has been found that by using the optimized firing angles the SRM can achieve rated power at 3000 rpm with current command of 90 A. A light electric vehicle (e-Trike) model also developed to estimate the capabilities of the said SRM and proposed control using the optimized firing angles.
format	Final Project
author	Hidayat, Syahadatul
spellingShingle	Hidayat, Syahadatul FIRING ANGLE OPTIMIZATION TO MAXIMIZE TORQUE PRODUCTION AND MINIMIZING TORQUE RIPPLE ON 5 KW 12/8 TYPE SWITCHED RELUCTANCE MOTOR USING GENETIC ALGORITHM
author_facet	Hidayat, Syahadatul
author_sort	Hidayat, Syahadatul
title	FIRING ANGLE OPTIMIZATION TO MAXIMIZE TORQUE PRODUCTION AND MINIMIZING TORQUE RIPPLE ON 5 KW 12/8 TYPE SWITCHED RELUCTANCE MOTOR USING GENETIC ALGORITHM
title_short	FIRING ANGLE OPTIMIZATION TO MAXIMIZE TORQUE PRODUCTION AND MINIMIZING TORQUE RIPPLE ON 5 KW 12/8 TYPE SWITCHED RELUCTANCE MOTOR USING GENETIC ALGORITHM
title_full	FIRING ANGLE OPTIMIZATION TO MAXIMIZE TORQUE PRODUCTION AND MINIMIZING TORQUE RIPPLE ON 5 KW 12/8 TYPE SWITCHED RELUCTANCE MOTOR USING GENETIC ALGORITHM
title_fullStr	FIRING ANGLE OPTIMIZATION TO MAXIMIZE TORQUE PRODUCTION AND MINIMIZING TORQUE RIPPLE ON 5 KW 12/8 TYPE SWITCHED RELUCTANCE MOTOR USING GENETIC ALGORITHM
title_full_unstemmed	FIRING ANGLE OPTIMIZATION TO MAXIMIZE TORQUE PRODUCTION AND MINIMIZING TORQUE RIPPLE ON 5 KW 12/8 TYPE SWITCHED RELUCTANCE MOTOR USING GENETIC ALGORITHM
title_sort	firing angle optimization to maximize torque production and minimizing torque ripple on 5 kw 12/8 type switched reluctance motor using genetic algorithm
url	https://digilib.itb.ac.id/gdl/view/53940
_version_	1822929473387888640

FIRING ANGLE OPTIMIZATION TO MAXIMIZE TORQUE PRODUCTION AND MINIMIZING TORQUE RIPPLE ON 5 KW 12/8 TYPE SWITCHED RELUCTANCE MOTOR USING GENETIC ALGORITHM

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