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首页> 外文期刊>Electric power systems research >Design optimization of PM couplings using hybrid Particle Swarm Optimization-Simplex Method (PSO-SM) Algorithm
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Design optimization of PM couplings using hybrid Particle Swarm Optimization-Simplex Method (PSO-SM) Algorithm

机译：混合粒子群优化-单纯形法（PSO-SM）算法设计永磁耦合

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摘要

The aim of this paper is to explore the use of the proposed hybrid Particle Swarm Optimization-Simplex Method (PSO-SM) algorithm to optimize the design of PM couplings subject to several key design constraints. The proposed hybrid optimization algorithm is constructed based on combining two well-known optimization techniques: Particle Swarm Optimization (PSO) and Simplex Method (SM). The PSO has obvious capabilities in global search while the SM has exceptional advantages in local search. As a hybrid algorithm, the PSO-SM has the outstanding feature of combining the ability of global searching and local canvassing. On the other hand, Permanent Magnet (PM) drive couplings are used in power transmission in a wide range of industrial applications. A standard coupling design is used as a good starting point for the conventional Simplex Method and to define the performance constraints for the proposed hybrid optimization algorithm. New coupling designs are developed and optimized to demonstrate the superior capabilities of PSO-SM algorithm as a global optimization technique.
机译：本文的目的是探索使用提出的混合粒子群优化-单纯形方法（PSO-SM）算法来优化受几个关键设计约束的PM联轴器的设计。提出的混合优化算法是在结合两种著名的优化技术的基础上构建的：粒子群优化（PSO）和单纯形法（SM）。 PSO在全局搜索中具有明显的功能，而SM在本地搜索中具有非凡的优势。作为一种混合算法，PSO-SM具有将全局搜索和本地拉票功能相结合的突出特征。另一方面，永磁（PM）驱动器联轴器用于各种工业应用中的动力传输。标准的耦合设计被用作常规单纯形法的良好起点，并为所提出的混合优化算法定义了性能约束。开发和优化了新的耦合设计，以证明PSO-SM算法作为一种全局优化技术的优越功能。

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