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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| 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 |
| Summary: | 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. |
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