Governed by: Ministry of Industry and Information Technology of the People's Republic of China
Sponsored by: Northwestern Polytechnical University  Chinese Society Aeronautics and Astronautics
Address: Aviation Building,Youyi Campus, Northwestern Polytechnical University
Multi-objective optimum design for high-frequency flapping-wing micro air vehicle based on NSGA-II algorithm
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National Defense Key Laboratory of Aircraft Advanced Design Technology, Nanjing University of Aeronautics and Astronautics,National Defense Key Laboratory of Aircraft Advanced Design Technology, Nanjing University of Aeronautics and Astronautics,National Defense Key Laboratory of Aircraft Advanced Design Technology, Nanjing University of Aeronautics and Astronautics,Nanjing University of Aeronautics and Astronautics

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V276

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This work was supported by Fundation of Graduate Innovation Center in NUAA(kfjj20170113);supported by“the Fundamental Research Funds for the Central Universities“; a project funded by the priority academic program development of jiangsu higher education institutions

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    Abstract:

    Flapping-wing micro air vehicles (FWMAVS) are subject to lift, drag and inertial loads of violent changes while fluttering at high frequencies, which seriously affect the flight performance and flight life. This paper establishes a mathematical model of wing lift, drag and inertial forces during the FWMAVs fluttering based on the analysis of movement and force conditions of the wing. A multi-objective optimization model targeting at improving the distribution of loads in the time domain is then proposed and solved by using NSGA-II algorithm in Matlab environment. After all the work, the Pareto optimal solution set of the hovering state is obtained. Comparison and analysis of the data show that after the optimization, the peaks of lift and inertial forces decline significantly and the load distribution is obviously improved, which shows that results of this optimization method meet the design requirements.

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jiangjin, zhengxiangming, fengzhuoqun, shenhuan. Multi-objective optimum design for high-frequency flapping-wing micro air vehicle based on NSGA-II algorithm[J]. Advances in Aeronautical Science and Engineering,2019,10(1):80-86

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History
  • Received:May 03,2018
  • Revised:May 30,2018
  • Adopted:June 04,2018
  • Online: January 08,2019
  • Published:
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