淡江大學機構典藏:Item 987654321/127293
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    題名: Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers
    作者: Juing-Shian Chiou, Huu-Khoa Tran, Shou-Tao Peng
    日期: 2015-10-12
    上傳時間: 2025-04-21 12:05:54 (UTC+8)
    出版者: Wiley
    摘要: Based on some sort of simplified fuzzy reasoning methods and PID parameters, many fuzzy-PID controller schemes are applied to control the complicated systems, recently. Mathematical optimization calculations are making in encouraging EP with PSO yielding a higher-quality solution. In this paper, a novel HEPSO algorithm as an improved variant of stochastic optimization strategy PSO, which assigns optimization to fuzzy-PID control gains, is established. The benefit integration design of the HEPSO algorithm structure is generating and updating the new parameters for the fuzzy-PID control schemes in the short setting and operation time. The proposed controllers have demonstrated performance to MAV models.
    關聯: Mathematical Problems in Engineering 2015(1),p. 684094
    DOI: 10.1155/2015/684094
    顯示於類別:[資訊管理學系暨研究所] 期刊論文

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