Multi-objective optimization of permanent magnet synchronous motor based on elite retention hybrid simulated annealing algorithm

2018

MATEC Web Conf.

The Interior double-radial permanent magnent generator (IDRPMG) which composed by two groups of rectangular permanent magnets to provide parallel magnetic circuits of the rator and the sator core with less eddy current loss, low hormonic content and low cogging torque of the stator with fractional slot winding is developed. It has the advantages of remarkable magnetism gathering effect, strong magnetic field intensity and high space utilization. Combining Taguchi method and finite element method, the relevant parameters of the permanent magnet size and the angle between the first and second rectangle permanent magnets in rotor are optimized to get better the distortion rate of output voltage waveform, lower cogging torque and higer peak value of airgap flux density. Then finite element simulation is taken for the best optimization scheme through comparative analysis of the machine by before and after optimization. It showed that each performance index is improved after optimization. Finally, the prototype is manufactured, according to the optimization parameters and some experiments are conducted, which results verify the analys is preview well.

Section: Determination Of Final Optimizition Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Design Optimization of Interior Double-Radial Synthetic Magnetic Field Permanent Magnet Generator for Electric Vehicle

2018

MATEC Web Conf.

“…However, the torque ripple cannot be neglected due to the high cogging torque. Thus, some design methods, such as fractional slot winding, stator skewed slot, and best pole slot fit method, are adopted to optimize the output torque [5,6]. However, the above methods are only aimed at a single design method, which only improves the output torque of AFPMBLDC, leaving the problems of low efficiency and large losses [7,8].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of an Axial Flux Permanent Magnet Brushless DC Motor with Arc-Shaped Magnets

et al. 2022

Applied Sciences

To get a better electromagnetic performance of an axial flux permanent magnet brushless DC motor (AFPMBLDC), an AFPMBLDC with arc-shaped magnets and its multi-objective optimization design are researched. Firstly, the main design parameters of the AFPMBLDC are proposed, and the initial designs are carried out according to the given requirements. Furthermore, the pole arc coefficient, permanent magnet thickness, permanent magnet arc radius, and air-gap length are selected as optimization factors. Then, an orthogonal experiment table is established, in which the flux density, no-load back EMF, harmonic distortion rate, and output torque ripple are selected as optimization targets. The Taguchi optimization method is adopted to optimize the performance indexes and the optimal parameters are obtained. Finally, the optimized model is constructed, and some simulations are carried out to verify the optimal design. The research results have shown that the air-gap flux density of the optimized AFPMBLDC is reduced to 31.8%, the total harmonic distortion rate of no-load back EMF is less than 7.5%, and the torque ripple is reduced to 4.3%.

“…A hybrid multi-objective optimization algorithm had a fast convergence rate, but the global search ability was poor [15]. In [16] and [17], the multi-objective analysis was carried out to optimize the motor by applying a hybrid genetic-simulated annealing algorithm and conformal mapping method, respectively. By which the performance of the machine could be improved, but both methods were prone to premature stagnation.…”

Section: Introductionmentioning

confidence: 99%

Optimization design of halbach permanent magnet motor based on multi-objective sensitivity

Trans. Electr. Mach. Syst.

Wang

et al. 2020

The halbach permanent magnet synchronous motor (HPMSM) combines the advantages of permanent magnet motors and halbach arrays, which make it very suitable to act as a robot joint motor, and it can also be used in other fields, such as electric vehicles, wind power generation, etc. At first, the sizing equation is derived and the initial design dimensions are calculated for the HPMSM with the rated power of 275W, based on which the finite element parametric model of the motor is built up and the key structural parameters that affect the total harmonic distortion of air-gap flux density and output torque are determined by analyzing multi-objective sensitivity. Then the structure parameters are optimized by using the cuckoo search algorithm. Last, in view of the problem of local overheating of the motor, an improved stator slot structure is proposed and researched. Under the condition of the same outer dimensions, the electromagnetic performance of the HPMSM before and after the improvement are analyzed and compared by the finite element method. It is found that the improved HPMSM can obtain better performances.