Multiobjective Evolutionary Optimization of a Surface Mounted PM Actuator With Fractional Slot Winding for Aerospace Applications

Beniakar, Minos E.; Sarigiannidis, Athanasios G.; Kakosimos, Panagiotis; Kladas, Antonios G.

doi:10.1109/tmag.2013.2285497

Cited by 43 publications

(23 citation statements)

References 12 publications

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“…When an electric machine is only optimized for a single operating point, the number of dimensions, D, is usually not large (usually around 3 to 8 based on the references in [1]), as the objectives associated with electric machines are typically the average torque, torque ripple, efficiency, torque density, machine weight, volume, quantified measures of the manufacturing complexity such as the stator toothslot shape [8], as well as permanent magnet (PM) relevant metrics for PM machines such as the PM cost, volume, and its demagnetization vulnerability with various faults. With a relatively small D, the size of design candidates, N , can be also well regulated, since it is still easy to construct effective Pareto fronts when the number of objectives D is small.…”

Section: A Electric Machine Optimization: Single Operating Point Vs mentioning

confidence: 99%

Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE

Zhang

et al. 2019

2019 IEEE Energy Conversion Congress and Exposition (ECCE)

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The optimization of electric machines at multiple operating points is crucial for applications that require frequent changes on speeds and loads, such as the electric vehicles, to strive for the machine optimal performance across the entire driving cycle. However, the number of objectives that would need to be optimized would significantly increase with the number of operating points considered in the optimization, thus posting a potential problem in regards to the visualization techniques currently in use, such as in the scatter plots of Pareto fronts, the parallel coordinates, and in the principal component analysis (PCA), inhibiting their ability to provide machine designers with intuitive and informative visualizations of all of the design candidates and their ability to pick a few for further fine-tuning with performance verification. Therefore, this paper proposes the utilization of t-distributed stochastic neighbor embedding (t-SNE) to visualize all of the optimization objectives of various electric machines design candidates with various operating conditions, which constitute a high-dimensional set of data that would lie on several different, but related, low-dimensional manifolds. Finally, two case studies of switched reluctance machines (SRM) are presented to illustrate the superiority of then t-SNE when compared to traditional visualization techniques used in electric machine optimizations.

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Section: A Electric Machine Optimization: Single Operating Point Vs mentioning

confidence: 99%

Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE

Zhang

et al. 2019

2019 IEEE Energy Conversion Congress and Exposition (ECCE)

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“…The main properties of the test actuator, designed and geometrically optimized in [2], are summarized in Table I. The exact actuator, applied in aerospace technology, presents two distinct operational conditions.…”

Section: A Coupled Circuit-fe Modelmentioning

confidence: 99%

“…S YNCHRONOUS permanent magnet (PM) motors using a fractional slot concentrated winding driven by pulsewidthmodulated (PWM) inverter are widely used in a variety of applications [1], where strict specifications and spatial limitations are applied, because of their high torque density and efficiency [2]. However, the determination of the optimum switching frequency (SF), in terms of motor and inverter overall efficiency, as well as low noise-shaft vibration, is a complex and multi-variable problem.…”

Section: Introductionmentioning

confidence: 99%

Switching Frequency Impact on Permanent Magnet Motors Drive System for Electric Actuation Applications

Sarigiannidis

Kladas

2015

IEEE Trans. Magn.

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This paper investigates the harmonic losses and torque ripple of a surface permanent magnet (SPM) motor driven by pulsewidthmodulated inverter for a wide range of switching frequencies (SFs), using a 2-D nonlinear time stepping finite-element model, including strand conductors proximity effect, coupled with an appropriate external electric circuit. Such a method enables the estimation of torque ripple as well as the accurate prediction of the eddy current losses in the windings, lamination core, and PMs, respectively. Moreover, the total power losses of the inverter are calculated via analytical techniques. The analysis undertaken proposes an optimum SF, in terms of overall drive system efficiency and torque quality, considering multiple operating conditions. The simulated results are validated by measurements on a prototype SPM actuator, illustrating that the SF plays an important role on SPM motor drive applications.Index Terms-Eddy current loss, permanent magnet (PM) motors, pulsewidth-modulated (PWM) inverter, torque ripple.

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“…Evolutionary type artificial intelligence methods which can optimize design parameters automatically have been used in many studies. A differential evolutionary (DE) multi-objective optimization of a surface mounted PM actuator is proposed in [10]. The DE, genetic algorithm (GA) and simulated annealing (SA) methods are used in synchronous reluctance motors multiobjective optimization [11].…”

Section: Introductionmentioning

confidence: 99%

Preliminary Design and Optimization of Toroidally Wound Limited Angle Servo Motor Based on a Generalized Magnetic Circuit Model

Zhao

et al. 2016

IEEE Trans. Magn.

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This paper proposes a new generalized equivalent magnetic circuit model for the preliminary design of a toroidally-wound limited angle servo motor (LASM). In the model, the magnetic networks are formulated as a function of the pole number and geometric dimensions. Nonlinear saturation effect of the ferromagnetic material is also taken into consideration. A multi-objective optimization function involving the torque requirement, the mass, the time constant, and magnetic saturations of ferromagnetic material is introduced. Based on the proposed model, six design cases with different objectives have been carried by the particle swarm optimization (PSO) method. The comparisons of different optimization cases demonstrate the effectiveness and computation efficiency of the proposed method, and hence its suitability in preliminary design. Moreover, the generalized model can be readily applied in the other electromagnetic modeling.Index Terms-Magnetic equivalent circuit, limited angle servo motor, magnetic saturation, multi-objective optimization. 0018-9464 (c)

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Multiobjective Evolutionary Optimization of a Surface Mounted PM Actuator With Fractional Slot Winding for Aerospace Applications

Cited by 43 publications

References 12 publications

Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE

Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE

Switching Frequency Impact on Permanent Magnet Motors Drive System for Electric Actuation Applications

Preliminary Design and Optimization of Toroidally Wound Limited Angle Servo Motor Based on a Generalized Magnetic Circuit Model

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