Design optimization of ferrite assisted synchronous reluctance motor using multi-objective differential evolution algorithm

2017 ◽  
Vol 36 (1) ◽  
pp. 219-239 ◽  
Author(s):  
Nagarajan V.S. ◽  
Balaji Mahadevan ◽  
Kamaraj V. ◽  
Arumugam R. ◽  
Ganesh Nagarajan ◽  
...  
Keyword(s):  
Differential Evolution ◽  
Design Optimization ◽  
Torque Ripple ◽  
Multiple Objectives ◽  
Variable Speed ◽  
Content Type ◽  
Multi Objective ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Optimization Routine

Purpose The purpose of this paper is performance enhancement of ferrite-assisted synchronous reluctance (FASR) motor using multi-objective differential evolution (MODE) algorithm, considering the significant geometric design parameters. Design/methodology/approach This work illustrates the optimization of FASR motor using MODE algorithm to enhance the performance of the motor considering barrier angular positions, magnet height, magnet axial length, flux barrier angles of the rotor and air gap length. In the optimization routine to determine the performance parameters, generalized regression neural network-based interpolation is used. The results of MODE are validated with multi-objective particle swarm optimization algorithm and multi-objective genetic algorithm. Findings The design optimization procedure developed in this work for FASR motor aims at achieving multiple objectives, namely, average torque, torque ripple and efficiency. With multiple objectives, it is essential to give the designer the tradeoff between different objectives so as to arrive at the best design suitable for the application. The results obtained in this work justify the application of the MODE approach for FASR motor to determine the various feasible solutions within the bounds of the design. Research limitations/implications Analysis, design and optimization of synchronous reluctance motor has been explored in detail to establish its potential for variable speed applications. In recent years, the focus is toward the electromagnetic design of hybrid configurations such as FASR motor. It is in this preview this work aims to achieve optimal design of FASR motor using multi-objective optimization approach. Practical/implications The results of this work will supplement and encourage the application of FASR motor as a viable alternate for variable speed drive applications. In addition, the application of MODE to arrive at better design solutions is demonstrated. Originality/value The approach presented in this work focuses on obtaining enhanced design of FASR motor considering average torque, torque ripple and efficiency as performance measures. The posteriori analysis of optimization provides an insight into the choice of parameters involved and their effects on the design of FASR motor. The efficacy of the optimization routine is justified in comparison with other multi-objective algorithms.

Torque ripples reduction in a synchronous reluctance motor by rotor parameters optimization

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Reza Naeimi ◽  
Karim Abbaszadeh ◽  
Reza Nasiri-Zarandi
Keyword(s):  
Finite Element ◽  
Pso Algorithm ◽  
Torque Ripple ◽  
Parameters Optimization ◽  
Optimized Design ◽  
Element Analysis ◽  
Content Type ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Optimization Parameters

Purpose High torque ripple is the significant challenge of the synchronous reluctance machine in household electric appliances, electric vehicles and so on. This paper aims to present an optimized design of a synchronous reluctance rotor structure to reduce the torque ripple with improving the average torque by the particle swarm optimization (PSO) algorithm. Design/methodology/approach The optimization of rotor geometries has been investigated. Most of the rotor parameters such as the width of iron parts, the width of barriers along d and q axes and the endpoint angle of barriers are optimized by a new method using the PSO algorithm. After optimization, the resulted optimum design along with the initial design is simulated by two-dimensional finite element method and results are compared. At the end, a prototype is constructed and tested. Results of the experiment are compared with the simulation results where acceptable adoption is yielded. Findings Minimizing the torque ripple without losing the average torque is an important achievement of the synchronous reluctance motor (SynRM) optimization; furthermore, the finite element analysis and experimental results indicate that the torque ripple of the SynRM with the optimized rotor is reduced significantly. Also, increasing the number of optimization parameters can effectively obtain an accurate shape of the SynRM barrier. Originality/value Because of the high number of parameters in synchronous reluctance rotors, the majority of proposed optimizations did not use all geometric parameters of the rotor and tried to simplify the optimization by ignoring several optimization parameters or reducing the number of flux barriers. In this optimization, most of the rotor parameters have been used to achieve the precise barrier shape with the aim of reducing the torque ripple in SynRM.

Design Optimization of Synchronous Reluctance Motor for Low Torque Ripple

2019 ◽  
pp. 53-69
Author(s):  
Andrea Credo ◽  
Andrea Cristofari ◽  
Stefano Lucidi ◽  
Francesco Rinaldi ◽  
Francesco Romito ◽  
...  
Keyword(s):  
Design Optimization ◽  
Torque Ripple ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Low Torque

Taguchi-EM-AI Design Optimization Environment for SynRM Drives in Traction Applications

2021 ◽  
Vol 35 (11) ◽  
pp. 1372-1373
Author(s):  
A.A. Arkadan ◽  
N. Al Aawar
Keyword(s):  
Design Optimization ◽  
Search Algorithm ◽  
Motor Drives ◽  
Computational Time ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Motor Drive System ◽  
Taguchi Orthogonal Arrays ◽  
Optimization Search

Multi-objective design optimization environments are used for electric vehicles and other traction applications to arrive at efficient motor drives. Typically, the environment includes characterization modules that involve the use of Electromagnetic Finite Element and State-Space models that require large number of iterations and computational time. This work proposes the utilization of a Taguchi orthogonal arrays method in conjunction with a Particle Swarm Optimization search algorithm to reduce computational time needed in the design optimization of electric motors for traction applications. The effectiveness of the Taguchi method in conjunction with the optimization environment is demonstrated in a case study involving a prototype of a Synchronous Reluctance Motor drive system.

Analysis of torque ripple and fault-tolerant capability for a 16/10 segmented switched reluctance motor in HEV applications

2019 ◽  
Vol 38 (6) ◽  
pp. 1725-1737
Author(s):  
Xiaodong Sun ◽  
Jiangling Wu ◽  
Shaohua Wang ◽  
Kaikai Diao ◽  
Zebin Yang
Keyword(s):  
Fault Tolerant ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Experimental Results ◽  
Element Analysis ◽  
Content Type ◽  
Switched Reluctance ◽  
Output Torque ◽  
Reluctance Motor ◽  
Lower Torque

Purpose The torque ripple and fault-tolerant capability are the two main problems for the switched reluctance motors (SRMs) in applications. The purpose of this paper, therefore, is to propose a novel 16/10 segmented SRM (SSRM) to reduce the torque ripple and improve the fault-tolerant capability in this work. Design/methodology/approach The stator of the proposed SSRM is composed of exciting and auxiliary stator poles, while the rotor consists of a series of discrete segments. The fault-tolerant and torque ripple characteristics of the proposed SSRM are studied by the finite element analysis (FEA) method. Meanwhile, the characteristics of the SSRM are compared with those of a conventional SRM with 8/6 stator/rotor poles. Finally, FEA and experimental results are provided to validate the static and dynamic characteristics of the proposed SSRM. Findings It is found that the proposed novel 16/10 SSRM for the application in the belt-driven starter generator (BSG) possesses these functions: less mutual inductance and high fault-tolerant capability. It is also found that the proposed SSRM provides lower torque ripple and higher output torque. Finally, the experimental results validate that the proposed SSRM runs with lower torque ripple, better output torque and fault-tolerant characteristics, making it an ideal candidate for the BSG and similar systems. Originality/value This paper presents the analysis of torque ripple and fault-tolerant capability for a 16/10 segmented switched reluctance motor in hybrid electric vehicles. Using FEA simulation and building a test bench to verify the proposed SSRM’s superiority in both torque ripple and fault-tolerant capability.

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