MULTI OBJECTIVE OPTIMIZATION OF FIRING ANGLE BASED ON POWER, BATTERY LIFETIME, AND RIPPLE TORQUE FOR REGENERATIVE BRAKING SWITCHED RELUCTANCE MOTORS 5 KW THREE PHASE 12/8 TYPE AS 3 WHEEL DRIVE IN CITY

This paper discusses the optimization of conduction angle to control Switched Reluctance Motor with multi-objective genetic algorithm. This study will compare the optimization of 2 objectives, minimum torque ripple and maximum regenerative power while braking, with 3 optimization objectives, mini...

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Bibliographic Details
Main Author: Parandangi, Raeshad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/58836
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:This paper discusses the optimization of conduction angle to control Switched Reluctance Motor with multi-objective genetic algorithm. This study will compare the optimization of 2 objectives, minimum torque ripple and maximum regenerative power while braking, with 3 optimization objectives, minimum torque ripple and maximum battery life from its current fluctuations and regenerative power while braking. Finite Element Method (FEM) was used to obtain the flux linkage and torque characteristics of the SRM. These characteristics will be used to model the SRM drive as a control that will be optimized by genetic algorithms. This SRM drive will also be simulated in a dynamic state after optimization so that torque control and speed control will be used as controllers and e-Trike will be modeled as an SRM load. Comparison is also carried out between optimization of 2 objectives, torque ripple and regenerative power, with optimization of 3 objectives. There is a trade-off between the two optimizations, namely 3 objectives are more concerned with battery life due to lower current fluctuations, while 2 objectives are more concerned with user comfort because the torque ripple is smaller.