Fuzzy State Machine Energy Management Strategy for Hybrid Electric UAVs with PVFuel CellBattery Power System
المؤلفون المشاركون
Liu, Li
Zhang, Xiaohui
Dai, Yueling
المصدر
International Journal of Aerospace Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-07-02
دولة النشر
مصر
عدد الصفحات
16
الملخص EN
Energy management strategies are the key technology for hybrid electric UAVs.
This paper proposes a fuzzy state machine (FSM) energy management strategy with an online potential to control the power flow for the hybrid electric UAV which includes the photovoltaic, fuel cell, and battery power sources.
The FSM strategy couples the fuzzy logical strategy with a state machine strategy where the fuzzy logical strategy controls the power split between a fuel cell and a battery and the state machine deals with the power flow of photovoltaics and battery.
To evaluate the FSM strategy, a simulation platform integrating the hybrid power system model and UAV model is developed with a Matlab/Simulink tool.
An existed online thermostat control strategy for the same type of UAV is employed to compare with the proposed strategy based on the developed platform.
The energy management process and the state of each power source are analyzed under a given mission scenario.
The comparison of the two strategies about the power and energy contribution rates of each power source, the battery state of charge, and the hydrogen consumption is presented.
The results indicate that the FSM strategy can satisfy the demand power effectively during the mission and performs better than the thermostat control strategy on power distribution and fuel consumption.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Xiaohui& Liu, Li& Dai, Yueling. 2018. Fuzzy State Machine Energy Management Strategy for Hybrid Electric UAVs with PVFuel CellBattery Power System. International Journal of Aerospace Engineering،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1166974
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Xiaohui…[et al.]. Fuzzy State Machine Energy Management Strategy for Hybrid Electric UAVs with PVFuel CellBattery Power System. International Journal of Aerospace Engineering No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1166974
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Xiaohui& Liu, Li& Dai, Yueling. Fuzzy State Machine Energy Management Strategy for Hybrid Electric UAVs with PVFuel CellBattery Power System. International Journal of Aerospace Engineering. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1166974
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1166974
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر