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首页> 外文会议>2007采矿科学与安全技术国际学术会议 >Optimal Design of Permanent Magnet Linear Synchronous Motor for Rope-less Mine Hoist System using Improved Niche Genetic Algorithm
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Optimal Design of Permanent Magnet Linear Synchronous Motor for Rope-less Mine Hoist System using Improved Niche Genetic Algorithm

机译：基于改进小生境遗传算法的无绳矿井提升系统永磁直线同步电动机的优化设计

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摘要

Permanent Magnet Linear Synchronous Motor (PMLSM) is the core of rope-less mine hoist system. Optimal mathematic model of PMLSM is established by considering maximum of electromagnetic force and efficiency and minimum of whole motor's volume. The genetic algorithm using a niche method can be applied to the problems that require multiple solutions in the search space. An Improved Niche Genetic Algorithm (INGA) automatically tuning up the cross and mutation probability is proposed and used to find more optimal solutions including overall optimal solution and local optimal solution. Through application to the numerical examples, it is verified that the niche-based algorithm is effective. The INGA is applied to optimal design of PMLSM and some reasonable and satisfied results are obtained. The whole volume of PMLSM and consumption of NdFeB permanent magnet are reduced greatly, meanwhile the performance targets such as power factor and efficiency are improved obviously.
机译：永磁直线同步电动机（PMLSM）是无绳矿井提升系统的核心。通过考虑最大的电磁力和效率以及最小的整个电机体积来建立PMLSM的最佳数学模型。使用小生境方法的遗传算法可以应用于在搜索空间中需要多个解决方案的问题。提出了一种自动调整交叉和变异概率的改进小生境遗传算法（INGA），用于寻找更多的最优解，包括整体最优解和局部最优解。通过对数值例子的应用，证明了基于小生境的算法是有效的。将INGA应用于PMLSM的优化设计，取得了一些合理满意的结果。 PMLSM的整体体积和NdFeB永磁体的消耗大大降低，同时功率因数和效率等性能指标也得到了明显提高。

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