An Adaptive Optimization Algorithm Based on Kriging Interpolation with Spherical Model and its Application to Optimal Design of Switched Reluctance Motor
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TL;DR: The proposed algorithm is validated by application to the optimal design of a switched reluctance motor, where the stator pole face and shape of pole shoe attached to the lateral face of the rotor pole are optimized to reduce the torque ripple.
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Abstract: In this paper, an adaptive optimization strategy utilizing Kriging model and genetic algorithm is proposed for the optimal design of electromagnetic devices. The ordinary Kriging assisted by the spherical covariance model is used to construct surrogate models. In order to improve the computational efficiency, the adaptive uniform sampling strategy is applied to generate sampling points in design space. Through several iterations and gradual refinement process, the global optimal point can be found by genetic algorithm. The proposed algorithm is validated by application to the optimal design of a switched reluctance motor, where the stator pole face and shape of pole shoe attached to the lateral face of the rotor pole are optimized to reduce the torque ripple.
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Citations
Electrical machine optimization using a kriging predictor
Jean-Laurent Duchaud,Sami Hlioui,François Louf,Mohamed Gabsi +3 more
- 01 Oct 2014
TL;DR: An adaptive method for the trial site selection is introduced as an improvement for the Latin Hypercubic Sample (LHS) algorithm and the method is applied to the optimization of a flux switching synchronous machine.
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•Dissertation
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The relationship between normalized difference vegetation index and canopy temperature that affects the urban heat island phenomenon
Tissadee Prohmdirek,Poramate Chunpang,Teerawong Laosuwan +2 more
- 17 Oct 2020
Abstract: The objective of this research is to analyze the relationship between Normalized Difference Vegetation Index (NDVI) and canopy temperature that affects the Urban Heat Island (UHI) phenomenon in Mueang Maha Sarakham Municipality. The operational methods were divided into three main steps: 1) Analyzing NDVI by using Landsat 8 OLI satellite data 2) Monitoring canopy temperature with mobile traverses installed with digital thermometer and auto-record GPS receiver 3) Analyzing the relationship between NDVI and canopy temperature that passed through the spatial interpolation process using the kriging method. The results of the operational methods indicated that the trend of average atmospheric temperature in the urban area was higher than the outer area. Mueang Maha Sarakham Municipality had the highest UHI in the atmosphere at 4.65 C. And from the buffer zone with a distance of 800 m around the centroid point, the highest UHI in the atmosphere was 5.08 C. From the regression analysis between NDVI and the atmospheric temperature, it could be found a negative relationship between the data with a significance level of 0.01 and the decision coefficient (R) of 0.9392. This can be explained that if the area from the buffer zone decreased towards the centroid point, the value of NDVI decreased as well. In addition, when the equation set from the regression analysis was brought to predict the difference in atmospheric temperature in the area of Mueang Maha Sarakham Municipality and the surrounding area, the UHI sizes at all periods (16.0020.00 hrs.) increased in accordance with the decreases of NDVI values. Meanwhile, considering the tendency between the changes in UHI size in the atmosphere in each period and NDVI values with the polynomial regression analysis (degree 4), it was found that the maximum formation of UHI was during 18.00-19.00 hrs.’. The decreases in NDVI values resulted in a higher UHI size in each period. In addition, when the NDVI values in Mueang Maha Sarakham Municipality were less than 0.302, the largest size of UHI in the atmosphere will change at the time approaching 19.00 hrs. Key-words: Normalized Difference Vegetation Index (NDVI); Urban Heat Island (UHI); Remote Sensing; Landsat 8.
A Novel 3-D Analytical Modeling Method of Trapezoidal Shape Permanent Magnet Halbach Array for Multi-objective Optimization
TL;DR: In this article, a novel three-dimensional magnetic flux density analytical model of linear permanent magnet (PM) Halbach arrays with trapezoidal shape PMs, is established based on the theory of magnetic charge.
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Optimization Design of Switched Reluctance Motor Based on Response Surface Method
Chaozhi Huang,Guobin Yang +1 more
- 01 Dec 2018
TL;DR: In this paper, a response surface model (RSM) of optimizing parameters of motor structure is built based on the analysis of the causes of motor torque ripple in order to reduce the vibration and noise of the motor.
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TL;DR: The present state of the art of constructing surrogate models and their use in optimization strategies is reviewed and extensive use of pictorial examples are made to give guidance as to each method's strengths and weaknesses.
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Minimization of torque ripple in SRM drives
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Pole-Shape Optimization of a Switched-Reluctance Motor for Torque Ripple Reduction
Yong Kwon Choi,Hee Sung Yoon,Chang Seop Koh +2 more
- 26 Mar 2007
TL;DR: A proposal for a new stator pole face having a nonuniform air-gap and a pole shoe attached to the lateral face of the rotor pole to minimize the undesired torque ripple is described.
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Optimum design of switched reluctance motors using dynamic finite element analysis
TL;DR: This paper presents the methods and results of calculations carried out using dynamic finite element analysis for the optimum design of switched reluctance motors, including pole shape optimization, compensated current, etc.
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Selection of approximation models for electromagnetic device optimization
L. Wang,David A. Lowther +1 more
TL;DR: This paper investigates a model selection strategy that estimates the accuracy of all the different approximation models under consideration, so that the most accurate one can be chosen.
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