Optimal Altitude Control of an Integrated Airborne Wind Energy System with Globalized Lyapunov-based Switched Extremum Seeking

被引:0
|
作者
Bafandeh, Alireza [1 ]
Vermillion, Chris [1 ,2 ]
机构
[1] Univ N Carolina, Mech Engn & Engn Sci Dept, Charlotte, NC 28223 USA
[2] Altaeros Energies Inc, Boston, MA USA
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Airborne wind energy (AWE) systems replace the tower and foundation of contemporary wind turbines with tethers and a lifting body. This enables AWE systems to adjust their operating altitudes to deliver the greatest amount of net energy possible. However, determining the optimal operating altitude requires knowledge of the wind speed vs. altitude (wind shear) profile, leading to a tradeoff between exploration and exploitation. In this work, we consider an integrated AWE-battery-generator system in which it is possible to explore the domain of admissible altitudes during periods of low load demand and exploit the best altitude at other times. Specifically, we propose and evaluate four candidate hierarchical structures, based on a globalized Lyapunov-based switched extremum seeking (G-LSES) control structure, for control of the integrated system. We present simulation-based results that are based on actual wind speed and load demand data.
引用
收藏
页码:2089 / 2094
页数:6
相关论文
共 50 条
  • [1] Real-Time Altitude Optimization of Airborne Wind Energy Systems Using Lyapunov-Based Switched Extremum Seeking Control
    Bafandeh, Alireza
    Vermillion, Chris
    2016 AMERICAN CONTROL CONFERENCE (ACC), 2016, : 4990 - 4995
  • [2] Lyapunov-based switched extremum seeking for photovoltaic power maximization
    Moura, Scott J.
    Chang, Yiyao A.
    CONTROL ENGINEERING PRACTICE, 2013, 21 (07) : 971 - 980
  • [3] Altitude Optimization of Airborne Wind Energy Systems via Switched Extremum Seeking-Design, Analysis, and Economic Assessment
    Bafandeh, Alireza
    Vermillion, Chris
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2017, 25 (06) : 2022 - 2033
  • [4] IIWO Based Sliding Mode Extremum Seeking Control for MPPT in Wind Energy Conversion System
    Shi, Jiying
    Hu, Lu
    Xue, Fei
    Qin, Zijian
    Ling, Letao
    Ma, Li
    INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 : 85 - 90
  • [5] MPPT variable gain extremum seeking control method for wind energy conversion system
    Ji, Zhi-Cheng
    Zhu, Yun
    Meng, Tao
    Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2009, 13 (03): : 414 - 418
  • [6] Advanced Control Strategy of Switched Reluctance Generator-Based Wind Energy Conversion Systems Using Backstepping and Extremum Seeking Techniques
    Bouklata, Ali
    Oubouaddi, Hafid
    Brouri, Adil
    Mosaad, Mohamed I.
    Giri, Fouad
    IFAC PAPERSONLINE, 2024, 58 (13): : 593 - 598
  • [7] Sliding mode extremum seeking control based on improved invasive weed optimization for MPPT in wind energy conversion system
    Hu, Lu
    Xue, Fei
    Qin, Zijian
    Shi, Jiying
    Qiao, Wen
    Yang, Wenjing
    Yang, Ting
    APPLIED ENERGY, 2019, 248 (567-575) : 567 - 575
  • [8] Optimal Lyapunov-Based Sliding Mode Control for Slotless-Self Bearing Motor System
    Trinh, Minh Hiep
    Pham, Quang Dang
    Giap, Van Nam
    APPLIED SYSTEM INNOVATION, 2023, 6 (01)
  • [9] Peer-to-Peer Energy Trading in Smart Energy Communities: A Lyapunov-Based Energy Control and Trading System
    Zhu, Hailing
    Ouahada, Khmaies
    Abu-Mahfouz, Adnan M.
    IEEE ACCESS, 2022, 10 : 42916 - 42932
  • [10] Nonlinear Control of Wind Energy Conversion System Based on Control-Lyapunov Function
    Mash, Jonathan
    Pahlevaninezhad, Majid
    Jain, Praveen
    2013 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2013, : 2955 - 2961