Particle Swarm Design Optimization of ALA Rotor SynRM for Traction Applications

Arkadan, A.A.; ElBsat, Mohammad N.; Mneimneh, M.A.

doi:10.1109/tmag.2009.2012482

Cited by 36 publications

(9 citation statements)

References 9 publications

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“…Detailed information would be useful to machine designers in order to assist iterative geometry selection associated with practical machine design. Although there are many papers focusing on torque ripple reduction in synchronous machines, the majority of which suggest design changes [2][3][4][5][6], others concentrate on the drive and control aspect of reducing torque ripple [7][8][9]. The sources affecting torque ripple can be defined:…”

Section: Introductionmentioning

confidence: 99%

A Seminumerical Finite-Element Postprocessing Torque Ripple Analysis Technique for Synchronous Electric Machines Utilizing the Air-Gap Maxwell Stress Tensor

2014

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Section: Introductionmentioning

confidence: 99%

A Seminumerical Finite-Element Postprocessing Torque Ripple Analysis Technique for Synchronous Electric Machines Utilizing the Air-Gap Maxwell Stress Tensor

2014

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“…5) It does not depend on the initial solution to start its iteration process [24]. The PSO technique has been successfully applied to solve many power systems and electric machines optimization problems [25][26][27][28][29][30][31].…”

Section: Pso Algorithmmentioning

confidence: 99%

RTDS implementation of an improved sliding mode based inverter controller for PV system

et al. 2016

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This paper proposes a novel approach for testing dynamics and control aspects of a large scale photovoltaic (PV) system in real time along with resolving design hindrances of controller parameters using Real Time Digital Simulator (RTDS). In general, the harmonic profile of a fast controller has wide distribution due to the large bandwidth of the controller. The major contribution of this paper is that the proposed control strategy gives an improved voltage harmonic profile and distribute it more around the switching frequency along with fast transient response; filter design, thus, becomes easier. The implementation of a control strategy with high bandwidth in small time steps of Real Time Digital Simulator (RTDS) is not straight forward. This paper shows a good methodology for the practitioners to implement such control scheme in RTDS. As a part of the industrial process, the controller parameters are optimized using particle swarm optimization (PSO) technique to improve the low voltage ride through (LVRT) performance under network disturbance. The response surface methodology (RSM) is well adapted to build analytical models for recovery time (Rt), maximum percentage overshoot (MPOS), settling time (Ts), and steady state error (Ess) of the voltage profile immediate after inverter under disturbance. A systematic approach of controller parameter optimization is detailed. The transient performance of the PSO based optimization method applied to the proposed sliding mode controlled PV inverter is compared with the results from genetic algorithm (GA) based optimization technique. The reported real time implementation challenges and controller optimization procedure are applicable to other control applications in the field of renewable and distributed generation systems.

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“…As one of many available optimization methods, response surface and differential evolution is employed for design optimization tools of an electrical machine in [38]. Recently, also particle swarm optimization (PSO) approach has been used for design purpose [39]. Many interesting advantages push toward the use of this technique.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of permanent magnet flux switching generator for wind applications via artificial neural network and multi-objective particle swarm optimization hybrid approach

Meo

Zohoori

Vahedi

2016

Energy Conversion and Management

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Particle Swarm Design Optimization of ALA Rotor SynRM for Traction Applications

Cited by 36 publications

References 9 publications

A Seminumerical Finite-Element Postprocessing Torque Ripple Analysis Technique for Synchronous Electric Machines Utilizing the Air-Gap Maxwell Stress Tensor

A Seminumerical Finite-Element Postprocessing Torque Ripple Analysis Technique for Synchronous Electric Machines Utilizing the Air-Gap Maxwell Stress Tensor

RTDS implementation of an improved sliding mode based inverter controller for PV system

Optimal design of permanent magnet flux switching generator for wind applications via artificial neural network and multi-objective particle swarm optimization hybrid approach

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