Low Cogging Torque Design of Permanent Magnet Machine Using Modified Multi-Level Set Method With Total Variation Regularization

Putek, Piotr; Paplicki, Piotr; Pałka, Ryszard

doi:10.1109/tmag.2013.2286297

Cited by 41 publications

(16 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…D UE to the several attractive features, such as high efficiency and power factor, high torque to weight ratio and brushless construction, PM synchronous machines have found recently a wide range of applications in the automotive industry, e.g., [3]. However, in spite of their unquestionable advantages, including also the field weakening capability of 1:5, the Electrically Controlled Permanent Magnet Excited Synchronous Machine 1 (ECPSM) [4], served here as a case study, suffers inherently from the considerable level of the torque pulsation [5]. This, in turn, may result in the mechanical vibration and acoustic noise and, as a consequence, affect the machine performance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Variance-Based Robust Optimization of a Permanent Magnet Synchronous Machine

et al. 2018

View full text Add to dashboard Cite

This paper focuses on the application of the variance-based global sensitivity analysis for a topological derivative method in order to solve a stochastic nonlinear time-dependent magnetoquasi-static interface problem. To illustrate the approach a permanent magnet (PM) synchronous machine has been considered. Our key objective is to provide a robust design of the rotor poles and of the tooth base in a stator for the reduction of the torque ripple and electromagnetic losses, while taking material uncertainties into account. Input variations of material parameters are modeled using the polynomial chaos expansion technique, which is incorporated into the stochastic collocation method in order to provide a response surface model. Additionally, we can benefit from the variancebased sensitivity analysis. This allows us to reduce the dimensionality of the stochastic optimization problems, described by the random-dependent cost functional. Finally, to validate our approach, we provide the 2-D simulations and analysis, which confirm the usefulness of the proposed method and yield a novel topology of a PM synchronous machine.

show abstract

Section: Introductionmentioning

confidence: 99%

“…N510 508040. deterministic and stochastic optimization methods. Within this context, the topology optimization in particular seems to be a very powerful methodology, e.g., [8], [9], [5]. Other approaches, which aim to reduce the performance variability, are based on the the statistically originated Taguchi method [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Variance-Based Robust Optimization of a Permanent Magnet Synchronous Machine

et al. 2018

View full text Add to dashboard Cite

show abstract

“…For example, the rotor shape of interior permanent magnet (IPM) motor has been optimized with little dependence on experience and knowledge of engineers [1]- [3]. One of the well-known topology optimization methods is the on/off method with evolutionary algorithms (EA) [1], [2], [5], in which the optimization model is subdivided into small cells to which binary states, on (material) and off (air), are assigned.…”

Section: Introductionmentioning

confidence: 99%

“…The model shape is optimized for the binary states using EA. Although the on/off method with EA possibly finds good approximations to global optimal solutions without sensitivity analysis unlike the level-set methods [3], [4], we often obtain quite complicated shapes which are not suitable for manufacturing. The spatial filtering has been applied to the optimization processes to reduce spatial frequency in the shapes [2], [5].…”

Section: Introductionmentioning

confidence: 99%

Multimaterial Topology Optimization of Electric Machines Based on Normalized Gaussian Network

2015

View full text Add to dashboard Cite

This paper presents a topology optimization method for multimaterial models based on the normalized Gaussian network (NGnet). In this method, one can determine optimal shapes of machines which are composed of various materials such as iron, magnet and nonmagnetic material. The present method is applied to the optimization of interior permanent magnet motor to determine the distributions of magnetic core and flux barrier as well as magnets. The optimization results show that average torque can be improved using as small amount of magnet as possible. In addition, characteristic of the present method is discussed in detail.Index Terms-interior permanent magnet motor, topology optimization.

show abstract

“…New, alternative PM machine topologies with field weakening or hybrid excitation have been recognized and introduced in the literature e.g. [1][2][3], in order to eliminate problems associated with the field weakening techniques used in conventional PM machines.…”

Section: Introductionmentioning

confidence: 99%

Simulation and experimental results of hybrid electric machine with a novel flux control strategy

Paplicki

Wardach

Bonislawski

et al. 2015

Archives of Electrical Engineering

Self Cite

View full text Add to dashboard Cite

Abstract:The paper presents selected simulation and experimental results of a hybrid ECPMS-machine (Electric Controlled Permanent Magnet Synchronous Machine). This permanent magnets (PMs) excited machine offers an extended magnetic field control capability which makes it suitable for battery electric vehicle (BEV) drives. Rotor, stator and the additional direct current control coil of the machine are analyzed in detail. The control system and strategy, the diagram of power supply system and an equivalent circuit model of the ECPMS-machine are presented. Influence of the additional excitation on the performance parameters of the machine, such as: torque, efficiency, speed limits and back-EMF have also been discussed.

show abstract

Low Cogging Torque Design of Permanent Magnet Machine Using Modified Multi-Level Set Method With Total Variation Regularization

Cited by 41 publications

References 9 publications

Variance-Based Robust Optimization of a Permanent Magnet Synchronous Machine

Variance-Based Robust Optimization of a Permanent Magnet Synchronous Machine

Multimaterial Topology Optimization of Electric Machines Based on Normalized Gaussian Network

Simulation and experimental results of hybrid electric machine with a novel flux control strategy

Contact Info

Product

Resources

About