PSO-based algorithm applied to quadcopter micro air vehicle controller design

淡江大學機構典藏 > 商管學院 > 資訊管理學系暨研究所 > 期刊論文 > Item 987654321/122450

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题名:	PSO-based algorithm applied to quadcopter micro air vehicle controller design
作者:	Tran, HK;Chiou, JS
关键词:	particle swarm optimization (PSO)-based;evolutionary programming (EP);integral of the squared error (ISE);micro air vehicle (MAV)
日期:	2016-09-15
上传时间:	2022-03-09 12:10:27 (UTC+8)
摘要:	Due to the rapid development of science and technology in recent times, many effective controllers are designed and applied successfully to complicated systems. The significant task of controller design is to determine optimized control gains in a short period of time. With this purpose in mind, a combination of the particle swarm optimization (PSO)-based algorithm and the evolutionary programming (EP) algorithm is introduced in this article. The benefit of this integration algorithm is the creation of new best-parameters for control design schemes. The proposed controller designs are then demonstrated to have the best performance for nonlinear micro air vehicle models.
關聯:	Micromachines 7(9), 168
DOI:	10.3390/mi7090168
显示于类别:	[資訊管理學系暨研究所] 期刊論文

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