Energy Management Strategy of Extended Range UAV Based on Fuzzy Logic

doi:10.3969/j.issn.1674-0696.2024.01.14

Journal of Chongqing Jiaotong University(Natural Science) ›› 2023, Vol. 43 ›› Issue (1): 99-106.DOI: 10.3969/j.issn.1674-0696.2024.01.14

• Transportation Equipment • Previous Articles

Energy Management Strategy of Extended Range UAV Based on Fuzzy Logic

CHEN Wei1,3,LIU Jianhong1, REN Yi1, TU Chuan1, YAN Zhiwei2

(1. School of Aeronautics, Chongqing Jiaotong University, Chongqing 400074, China; 2. School of Energy and Power, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China; 3. Chongqing Key Laboratory of Green Aviation Energy and Power, Chongqing 401130, China)

Received:2023-05-04 Revised:2023-11-19 Published:2024-01-19

基于模糊逻辑的增程式无人机能量管理策略研究

陈伟1,3，刘建宏1，任毅1，涂钏1，闫志伟2

(1. 重庆交通大学航空学院，重庆 400074； 2. 南京航空航天大学能源与动力学院，江苏南京 210016； 3. 绿色航空能源动力重庆市重点实验室，重庆 401130)

作者简介:陈伟(1968—)，男，江苏南京人，教授，博士，主要从事绿色航空能源动力系统方面的研究。E-mail：chenwei@cqjtu.edu.cn 通信作者：刘建宏(1999—)，男，重庆人，硕士研究生，主要从事油电混合动力系统控制策略方面的研究。E-mail：liujianhong9911@163.com
基金资助:
重庆市自然科学基金项目（CSTB2022NSCQ-LZX0068）

Abstract

Abstract: By establishing mathematical models of the engine, generator, battery and cooling fan for an extended range UAV (unmanned aerial vehicle), the energy management strategy of the extended range hybrid power system was studied. According to the working characteristics of UAV, a composite energy management strategy based on fuzzy logic (fuzzy composite energy management strategy) was proposed and simulated by using MATLAB/Simulink. The research shows that compared with pure oil driven and composite energy management strategy driven UAV, UAV driven by the proposed fuzzy composite energy management strategy saves 8.1% of fuel consumption compared with pure oil driven one and 2.2% compared with composite energy management strategy driven one. Meanwhile, in terms of stability, the engine using fuzzy composite energy management strategy has a speed fluctuation of 50 r/min less than that driven by pure oil and composite energy management strategy, and the fluctuation frequency is also lower.

Key words: transportation equipment engineering; extended range; energy management; UAV; fuel economy; fuzzy logic

摘要： 以增程式无人机为研究对象，通过建立发动机、发电机、电池和冷却风扇的数学模型，研究增程式混合动力系统能量管理策略。根据无人机的工作特性，提出了一种基于模糊逻辑的复合型能量管理策略（模糊复合型能量管理策略），并使用MATLAB/Simulink进行仿真。研究表明：与纯油驱动、复合型能量管理策略驱动相比，笔者提出的模糊复合型能量管理策略驱动下的无人机在油耗方面比纯油驱动省油8.1%，比复合型能量管理策略驱动省油2.2%；在稳定方面，采用模糊复合型能量管理策略的发动机，转速波动比纯油驱动和复合型能量管理策略均少了50 r/min，且波动频率更低。

关键词: 交通装备工程；增程式；能量管理；无人机；燃油经济性；模糊逻辑

CLC Number:

V233.7

CHEN Wei1,3,LIU Jianhong1, REN Yi1, TU Chuan1, YAN Zhiwei2. Energy Management Strategy of Extended Range UAV Based on Fuzzy Logic[J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 43(1): 99-106.

陈伟1,3，刘建宏1，任毅1，涂钏1，闫志伟2. 基于模糊逻辑的增程式无人机能量管理策略研究[J]. 重庆交通大学学报（自然科学版）, 2023, 43(1): 99-106.

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Energy Management Strategy of Extended Range UAV Based on Fuzzy Logic

基于模糊逻辑的增程式无人机能量管理策略研究

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