Particle swarm optimization algorithm reinforced fuzzy proportional–integral–derivative for a quadrotor attitude control

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 987654321/121960

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題名:	Particle swarm optimization algorithm reinforced fuzzy proportional–integral–derivative for a quadrotor attitude control
作者:	Chiou, Juing-Shian;Tran, Huu-Khoa;Shieh, Ming-Yuan;Nguyen, Thanh-Nam
日期:	2016-09-12
上傳時間:	2022-01-15 12:11:40 (UTC+8)
摘要:	In this article, the particle swarm optimization algorithm is presented using an improved stochastic variant strategy to optimize the gains of the fuzzy proportional–integral–derivative controller. The particle swarm optimization algorithm aims to renew the elite parameters for the schemes of fuzzy proportional–integral–derivative controls. The integral of time multiplied by absolute error criterion is used to estimate the system performance due to saving the setting and operation time. Facing nonlinear quadrotor attitude control models, the results demonstrate the proposed scheme with better performance.
關聯:	Advances in Mechanical Engineering
DOI:	10.1177%2F1687814016668705
顯示於類別:	[資訊管理學系暨研究所] 期刊論文

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