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Collaborative Research: Self-Adjusting Periodic Optimal Control with Application to Energy-Harvesting Flight

Collaborative Research: Self-Adjusting Periodic Optimal Control with Application to Energy-Harvesting Flight
合作研究:自调节周期性最优控制及其在能量收集飞行中的应用
批准号:
1538369
负责人:
Christopher Vermillion
金额:
$11.38万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-01 至 2018-08-31

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中文摘要
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英文摘要
For many dynamic systems, optimal periodic operation provides superior performance to the best possible constant input. For example, compared to stationary flight, airborne wind energy systems can achieve higher apparent wind speed -- and generate significantly more electricity -- by flying in circular or figure-8 orbits. However these results may be sensitive to uncertainty. For example, the performance of a periodic energy harvesting trajectory designed for a particular flight condition may degrade rapidly when wind speed changes. Thus the overarching goal of this project is to enable dynamic controllers that rapidly adjust their periodic operation, in order to continue to provide near-optimal performance despite changing conditions. The application to airborne wind energy systems, which can access wind streams with reliably high speeds and moderate air density, generate electricity more efficiently and more reliably than stationary systems, thus benefiting society through lower power costs and improved energy security. Moreover, the fundamental tools to be created in this project will be applicable to many other important problems, including recurrent drug-delivery scheduling for chronic disease treatment. Existing results on periodic optimal control focus on offline optimization. Very little is known about the following fundamental challenges: (i) adaptation to unknown plant dynamics, (ii) achievement of periodic optimality in a robust and stable manner, and (iii) simultaneous optimization of both the time period and shape of the periodic trajectory. This project addresses these challenges, thereby furnishing a novel framework for robust online periodic control. Two distinct approaches will be pursued for online optimization of periodic control trajectories in the presence of parametric uncertainties, namely a novel implementation of extremum-seeking methods, and an indirect adaptive control algorithm. The closed-loop system stability will be analyzed using Floquet theory. Performance will be evaluated in simulations of a benchmark drug delivery problem and an energy-harvesting flight problem. Finally, effectiveness for control of energy harvesting flight will be validated experimentally.
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Real-Time Control Co-Design for Reconfigurable Energy-Harvesting Systems
Persistent Mission Planning and Control for Renewably Powered Robotic Systems
  • 批准号:
    2012103
  • 项目类别:
    Standard Grant
  • 资助金额:
    $36.55万
  • 财政年份:
    2020
  • 负责人:
    Christopher Vermillion
  • 依托单位:
Collaborative Research: Workshop: Integrated Design of Active Dynamic Systems (IDADS); Champaign, Illinois
  • 批准号:
    1935879
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.88万
  • 财政年份:
    2019
  • 负责人:
    Christopher Vermillion
  • 依托单位:
Collaborative Research: Multi-Scale, Multi-Rate Spatiotemporal Optimal Control with Application to Airborne Wind Energy Systems
  • 批准号:
    1913726
  • 项目类别:
    Standard Grant
  • 资助金额:
    $18.28万
  • 财政年份:
    2018
  • 负责人:
    Christopher Vermillion
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)