Efficiency improvement and torque ripple minimization of Switched Reluctance Motor using FEM and Seeker Optimization Algorithm

Navardi, Mohammad Javad; Babaghorbani, Behnaz; Ketabi, Abbas

doi:10.1016/j.enconman.2013.11.001

Cited by 37 publications

(31 citation statements)

References 17 publications

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“…2 is used to explain the optimization process of GA-FEM. Genetic algorithm is written in MATLAB language, and finite element calculation is written in APDL [6,9]. The optimization process is as follows.…”

Section: Optimization Resultsmentioning

confidence: 99%

Lightweight design of Rotor Supporting for Large Permanent Magnet Direct Drive Wind Generator

Wang

Li³

2019

Hittite J. Sci. Eng.

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P ermanent magnet direct drive motor has become the most promising solution for wind generation because of its advantages of high power density, high efficiency, high reliability and low maintenance cost. However, with the increase of the motor power grade, the excessive volume and weight of the motor are obstacles to its manufacture, assembly, transportation and installation [1]. The large permanent magnet direct drive wind generators are large in volume and mass. The main reason is that they not only include effective materials that produce electromagnetic torque, but also include structural materials that transmit torque. In order to overcome the torque load without plastic deformation or fracture, and ensure that the deformation at the air gap of the generator does not exceed the allowable value. The size and mass of structural are greatly increased for its Stiffness and strength requirements. Rotor supporting is one of the key factors to determine the weight of generator [2]. In the specific construction design stage of wind generator, when it comes to the design of every component, the designers often depend on their experiences, lack theoretical guidance, and often for safety reasons to choose some structural dimensions. Therefore, the design is conservative. This

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Section: Optimization Resultsmentioning

confidence: 99%

Lightweight design of Rotor Supporting for Large Permanent Magnet Direct Drive Wind Generator

Wang

Li³

2019

Hittite J. Sci. Eng.

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“…An average torque control of SRM for light EVs is proposed to control and estimate the average torque of the motor shaft in [160]. The Seeker optimization algorithm has been presented in [161] to minimize the torque ripple of SRM.…”

Section: Switched Reluctance Motorsmentioning

confidence: 99%

A comprehensive review on hybrid electric vehicles: architectures and components

2019

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The rapid consumption of fossil fuel and increased environmental damage caused by it have given a strong impetus to the growth and development of fuelefficient vehicles. Hybrid electric vehicles (HEVs) have evolved from their inchoate state and are proving to be a promising solution to the serious existential problem posed to the planet earth. Not only do HEVs provide better fuel economy and lower emissions satisfying environmental legislations, but also they dampen the effect of rising fuel prices on consumers. HEVs combine the drive powers of an internal combustion engine and an electrical machine. The main components of HEVs are energy storage system, motor, bidirectional converter and maximum power point trackers (MPPT, in case of solar-powered HEVs). The performance of HEVs greatly depends on these components and its architecture. This paper presents an extensive review on essential components used in HEVs such as their architectures with advantages and disadvantages, choice of bidirectional converter to obtain high efficiency, combining ultracapacitor with battery to extend the battery life, traction motors' role and their suitability for a particular application. Inclusion of photovoltaic cell in HEVs is a fairly new concept and has been discussed in detail. Various MPPT techniques used for solar-driven HEVs are also discussed in this paper with their suitability. Keywords Hybrid electric vehicle Á Hybrid energy storage system Á Architecture Á Traction motors Á Bidirectional converter Abbreviations and symbols ABS Antilock braking system AC Alternating current ADTR Antidirectional-twin-rotary ADVISOR Advanced vehicle simulator ANN Artificial neural network ASCI Auto-sequential commutated mode singlephase inverter BEV Battery electric vehicle BLDC Brushless DC motor CD Charge depletion CDFIM Cascaded DFIM CF-qZSI Current-fed quasi-ZSI CMPPT Centralized MPPT CS Charge sustaining CSI Current source inverter CS-PMSM Compound-structure PMSM CVT Continuous variable transmission DC Direct current DFIM Doubly fed induction motor DMPPT Distributed MPPT DRM Double-rotor machines DTC Direct torque control e-CVT Electronic continuous variable transmission EM Electric motor EMS Energy management system EREV Extended range electric vehicle ESS Energy storage system EV Electric vehicle FC Fuel cell

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“…Seeker Optimization Algorithm (SOA) has been used in SRM geometric optimization [18]. The most efficient aim of the algorithm was found for maximum torque value at a minimum mass of the entire construction, following changing the geometric parameters.…”

Section: Introductionmentioning

confidence: 99%

“…The fitness value of the objective functions is estimated by COMSOL 4.2, and the optimization individuals are decided using MATLAB by the applied RPSO algorithm. The proposed method has been applied to a case study, and it has also been compared with Seeker Optimization Algorithm [18]. This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Torque and Ripple Improving of a Sr Motor Using Robust Particle Swarm Optimization of Drive Current and Dimension

Ketabi¹,

Yadghar²,

Navardi³

2016

PIER M

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In this paper, the robust optimization shape and drive of switched reluctance motors (SRMs) are discussed using robust particle swarm optimization (RPSO). The shape optimum goal of the algorithm was found for maximum torque value and minimum torque ripple, following changing the geometric parameters. The drive optimum aim of the algorithm was found minimum torque ripple, following changing the current profiles. The optimization process was carried out using a combination of RPSO and Finite Element Method (FEM). Fitness value was calculated by FEM analysis using COMSOL 4.2, and the RPSO was realized by MATLAB 2011. The proposed method has been applied to two case studies and also compared with seeker optimization algorithm. The results show that the optimized SRM using RPSO has higher torque value, lower torque ripple and higher robustness, indicating the validity of this methodology for SRM design and implementation.

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Efficiency improvement and torque ripple minimization of Switched Reluctance Motor using FEM and Seeker Optimization Algorithm

Cited by 37 publications

References 17 publications

Lightweight design of Rotor Supporting for Large Permanent Magnet Direct Drive Wind Generator

Lightweight design of Rotor Supporting for Large Permanent Magnet Direct Drive Wind Generator

A comprehensive review on hybrid electric vehicles: architectures and components

Torque and Ripple Improving of a Sr Motor Using Robust Particle Swarm Optimization of Drive Current and Dimension

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