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首页> 外文期刊>IEEE Transactions on Industrial Electronics >An Energy Efficient Power Management Solution for a Fault-Tolerant More Electric Engine/Aircraft
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An Energy Efficient Power Management Solution for a Fault-Tolerant More Electric Engine/Aircraft

机译:容错更多的电动发动机/飞机的节能电源管理解决方案

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摘要

This paper provides the concept of design, implementation, and system integration of energy efficient power management solution for a fault-tolerant more electric engine/aircraft (MEE/MEA). The power management solution consists of three components, i.e., the power management system (PMS), the stability analysis module, and the condition-based control (CBC) module. The PMS is to optimize the electrical power system (EPS) level efficiency based on constraints with consideration of power limits of the dc system in the MEE/MEA architecture, which are calculated by the stability analysis module, and system reconfiguration, which is provided by the CBC module. This paper focuses on the design and implementation of PMS algorithm for EPS of a fault-tolerant MEE/MEA architecture. A PMS solution to optimize EPS level efficiency optimization is proposed, which is based on multiple objective optimization problem (MOOP). The proposed MOOP is solved with a modified nondominated genetic algorithm with local search mechanisms. The proposed power management solution are implemented in the MEE/MEA simulation model as well as hardware-in-loop virtual testbed and results show the effectiveness of the proposed algorithm.
机译:本文提供了用于容错性更高的电动发动机/飞机(MEE / MEA)的节能电源管理解决方案的设计,实现和系统集成的概念。电源管理解决方案包括三个组件,即电源管理系统(PMS),稳定性分析模块和基于条件的控制(CBC)模块。 PMS将基于约束条件来优化电力系统(EPS)的效率,同时考虑由MEE / MEA架构中的直流系统的功率极限(由稳定性分析模块计算得出)和系统重新配置(由系统提供) CBC模块。本文着重介绍了容错MEE / MEA体系结构EPS的PMS算法的设计与实现。提出了一种基于多目标优化问题(MOOP)的EPS水平效率优化的PMS解决方案。提出的MOOP是使用具有局部搜索机制的改进的非支配遗传算法来解决的。提出的电源管理解决方案在MEE / MEA仿真模型以及硬件在环虚拟测试台中实现,结果表明了该算法的有效性。

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