Design of a Permanent Magnet Synchronous Generator Using Interactive Multiobjective Optimization

Sindhya, Karthik; Manninen, Aino; Miettinen, Kaisa; Pippuri, Jenni

doi:10.1109/tie.2017.2708038

Cited by 37 publications

(23 citation statements)

References 24 publications

(36 reference statements)

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“…In [17], authors use a multi-physics model comprising six sub-models that are electrical, magnetic, thermal, mechanical, geometrical, and economical to design an optimum 55kW PMSG. Several optimization methods are presented in the literature for designing PM synchronous machines such as Sequential-Stage strategy [18], Interactive multi-objective [19], Monte Carlo [20], and Multi-Objective Genetic Algorithm [21].…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of a Large-Scale Permanent Magnet Synchronous Generator

et al. 2019

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Direct drive permanent magnet synchronous generators have numerous advantages such as improved reliability, low maintenance, long life, and developed performance characteristics. In recent years, many researchers have worked on this generator to enhance the performance of the generator, especially for the wind turbine application. The focus of this paper is on the development of a step-by-step method for the design of a permanent magnet synchronous generator. Then the winding function method is used to model the generator and calculate its output characteristics analytically. The analytical results of the designed generator are validated using the finite element analysis (FEA) and it is demonstrated that the obtained results from both methods are in great agreement with the experimental measurements of the Northern Power direct-drive generator. The sensitivity analysis and optimization procedure based on the genetic algorithm are used to design an optimum generator. The optimization goal is obtaining higher efficiency and power factor with lower voltage regulation and required permanent magnet volume compared to the initial design. In addition, the calculation of the voltage total harmonic distortion (THD) is presented and the optimum skew angle for the optimum generator is computed to reduce the voltage THD.

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Section: Introductionmentioning

confidence: 99%

Design and Optimization of a Large-Scale Permanent Magnet Synchronous Generator

et al. 2019

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“…At present, the energy development in the world is mostly hydraulic power generation, thermal power generation, wind power generation and so on. In modern power industry, synchronous generator is the most commonly used alternator, which is widely used in thermal power generation, diesel engine power generation, nuclear power generation, and so on [1][2][3]. During the operation of synchronous generators, there are many system uncertainties and serious external disturbances.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance

2019

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In this paper, an adaptive optimizing control is proposed for nonlinear synchronous generator system with uncertain disturbance. Considering the issue of uncertain item, a low-order Extended State Observer (ESO) is constructed to track each order states. en, combining Backstepping technology and proposed ESO, a dynamic compensation control is designed to compensate the uncertainty disturbance in each state quantity. e proposed method demonstrated that stability of the system can be ensured, and tracking burden of ESO can be reduced. Finally, simulation results can show a good tracking performance and anti-interference ability by the proposed control method.

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“…IGH performance permanent magnet synchronous motors are of high demand in industrial applications like electric vehicle due to the requirements of high efficiency, low cost, low acoustic noise and smooth torque [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

“…During the past years, particle swarm optimization (PSO) have been used, e.g., in [10] and [12], genetic algorithm (GA) optimization method in [3] and [9]. There are also some new optimization strategies [1] and [2]. In [10], a modified PSO is proposed to search the cost value of the global best during in the current iteration.…”

Section: Introductionmentioning

confidence: 99%

Improved genetic optimization algorithm with subdomain model for multi-objective optimal design of SPMSM

Gao

Dai

Zhang

2018

Trans. Electr. Mach. Syst.

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Design of a Permanent Magnet Synchronous Generator Using Interactive Multiobjective Optimization

Abstract: This is a self-archived version of an original article. This version may differ from the original in pagination and typographic details.

Cited by 37 publications

References 24 publications

Design and Optimization of a Large-Scale Permanent Magnet Synchronous Generator

Design and Optimization of a Large-Scale Permanent Magnet Synchronous Generator

Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance

Improved genetic optimization algorithm with subdomain model for multi-objective optimal design of SPMSM

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