基于熵权与混合代理模型的永磁驱动器的优化设计
针对永磁驱动器（PMD）的结构设计问题,提出一种基于改进熵权法结合混合代理模型的优化设计方法。首先利用基于交叉验证误差的最优加权法,将响应曲面法、克里金法以及支持向量机回归结合起来,构建PMD的参数变量与响应变量之间的混合代理模型;然后引入改进的熵权法,将PMD的多指标转化为单一综合指标,并建立其优化的数学模型,通过自适应权重粒子群优化算法求解;最后对结果进行有限元仿真分析和实验室仿真平台验证。研究结果表明,所提出的优化设计方法优于其它方法,得到的PMD结构参数合理有效,较好的实现了PMD的多目标优化设计。...
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| Published in | 电机与控制学报 Vol. 20; no. 6; pp. 102 - 108 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
东北大学信息科学与工程学院，辽宁沈阳，110004
2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1007-449X |
| DOI | 10.15938/j.emc.2016.06.013 |
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| Summary: | 针对永磁驱动器（PMD）的结构设计问题,提出一种基于改进熵权法结合混合代理模型的优化设计方法。首先利用基于交叉验证误差的最优加权法,将响应曲面法、克里金法以及支持向量机回归结合起来,构建PMD的参数变量与响应变量之间的混合代理模型;然后引入改进的熵权法,将PMD的多指标转化为单一综合指标,并建立其优化的数学模型,通过自适应权重粒子群优化算法求解;最后对结果进行有限元仿真分析和实验室仿真平台验证。研究结果表明,所提出的优化设计方法优于其它方法,得到的PMD结构参数合理有效,较好的实现了PMD的多目标优化设计。 |
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| Bibliography: | LI Zhao, WANG Da-zhi, SHI Tong-yu, ZHENG Di （School of Information Science ＆ Engineering, Northeastern University, Shenyang 110004, China） permanent magnet drive; hybrid surrogate model; entropy-weight method ; optimal weighting method ; adaptive weight particle swarm optimization particle swarm optimization Permanent magnet drive （PMD） design problems were studied and an optimization design approach based on hybrid surrogate model and improved entropy-weight was put forward. Firstly by combining the response surface method （RSM）, Kriging method and support vector machine regression （SVR） , a hybrid surrogate model of optimizing parameters and response variables was built, in which the optimal weighting method based on cross validation error is used; Secondly the improved entropy-weight was introduced to transform the multi-indexes of PMD into a single composite one, and the mathematical model was built, which was solved by adaptive weight particle swarm optimization particle swarm optimization （AWPSO） ; Finall |
| ISSN: | 1007-449X |
| DOI: | 10.15938/j.emc.2016.06.013 |