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摘要:
In this paper,Active Disturbance Rejection Control(ADRC)is utilized in the pitch con-trol of a vertical take-off and landing fixed-wing Unmanned Aerial Vehicle(UAV)to address the problem of height fluctuation during the transition from hover to level flight.Considering the dif-ficulty of parameter tuning of ADRC as well as the requirement of accuracy and rapidity of the controller,a Multi-Strategy Pigeon-Inspired Optimization(MSPIO)algorithm is employed.Particle Swarm Optimization(PSO),Genetic Algorithm(GA),the basic Pigeon-Inspired Optimization(PIO),and an improved PIO algorithm CMPIO are compared.In addition,the optimized ADRC control system is compared with the pure Proportional-Integral-Derivative(PID)control system and the non-optimized ADRC control system.The effectiveness of the designed control strategy for forward transition is verified and the faster convergence speed and better exploitation ability of the proposed MSPIO algorithm are confirmed by simulation results.
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篇名 A multi-strategy pigeon-inspired optimization approach to active disturbance rejection control parameters tuning for vertical take-off and landing fixed-wing UAV
来源期刊 中国航空学报(英文版) 学科
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年,卷(期) 2022,(1) 所属期刊栏目 Special Topic:Swarm Control of UAVs
研究方向 页码范围 19-30
页数 12页 分类号
字数 语种 英文
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中国航空学报(英文版)
月刊
1000-9361
11-1732/V
大16开
北京学院路37号西小楼
80-675
1988
eng
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2997
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1
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