一种用于增强电动无人机性能的智能能源管理系统

Q3 Earth and Planetary Sciences
Mohamed S. Elkerdany, Ibrahim M. Safwat, Ahmed Medhat M. Youssef, Mohamed M. Elkhatib
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引用次数: 0

摘要

以电力为动力的无人飞行器(uav)以其环保、隐身等特点,成为航空领域的一个突出概念。聚合物膜燃料电池(PMFC)作为主要动力源,但对突然负载变化的响应缓慢,为了解决其局限性,本研究提出了一种新型的锂离子电池混合动力系统。这种混合设置确保了卓越的动态响应,同时保持了高功率重量比效率。本文提出了一种智能能量管理系统(EMS),该系统通过多输入多输出(MIMO)控制框架有效地调节PMFC和锂离子电池之间的功率流。本研究的独特之处在于在多种飞行模式下对两种先进的EMS控制策略:模糊逻辑控制和自适应神经模糊推理系统(ANFIS)进行了比较评价。通过使用MATLAB/SIMULINK深入分析系统瞬态和动态行为,本工作为优化无人机电源效率提供了详细的见解。与以往的研究不同,本研究突出了不同飞行阶段每种控制策略的独特优势和局限性,为未来无人机应用中的EMS设计提供了全面的基准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An intelligent energy management system for enhanced performance in electric UAVs

An intelligent energy management system for enhanced performance in electric UAVs

An intelligent energy management system for enhanced performance in electric UAVs

Unmanned aerial vehicles (UAVs) propelled by electricity have emerged as a prominent concept in aviation due to their eco-friendly and stealth characteristics. To address the limitations of Polymer Membrane Fuel Cell (PMFC), which serve as the primary power source but exhibit sluggish responses to sudden load changes, this research proposes a novel hybrid power system incorporating a Li-Ion battery. This hybrid setup ensures superior dynamic response while maintaining high power-to-weight efficiency. This paper presents an intelligent energy management system (EMS), which effectively regulates power flow between the PMFC and Li-Ion battery through a multi-input multi-output (MIMO) control framework. The uniqueness of this study lies in the comparative evaluation of two advanced EMS control strategies: Fuzzy Logic Control and the Adaptive Neuro-Fuzzy Inference System (ANFIS), under multiple flight modes. By thoroughly analyzing system transients and dynamic behaviors using MATLAB/SIMULINK, this work provides a detailed insight into optimizing UAV power efficiency. Unlike previous studies, this research highlights the distinct advantages and limitations of each control strategy for different flight phases, providing a comprehensive benchmark for future EMS designs in UAV applications.

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来源期刊
Aerospace Systems
Aerospace Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
1.80
自引率
0.00%
发文量
53
期刊介绍: Aerospace Systems provides an international, peer-reviewed forum which focuses on system-level research and development regarding aeronautics and astronautics. The journal emphasizes the unique role and increasing importance of informatics on aerospace. It fills a gap in current publishing coverage from outer space vehicles to atmospheric vehicles by highlighting interdisciplinary science, technology and engineering. Potential topics include, but are not limited to: Trans-space vehicle systems design and integration Air vehicle systems Space vehicle systems Near-space vehicle systems Aerospace robotics and unmanned system Communication, navigation and surveillance Aerodynamics and aircraft design Dynamics and control Aerospace propulsion Avionics system Opto-electronic system Air traffic management Earth observation Deep space exploration Bionic micro-aircraft/spacecraft Intelligent sensing and Information fusion
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