Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers
學年 104
學期 1
出版（發表）日期 2015-10-12
作品名稱 Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers
作品名稱（其他語言）
著者 Juing-Shian Chiou, Huu-Khoa Tran, Shou-Tao Peng
單位
出版者
著錄名稱、卷期、頁數 Mathematical Problems in Engineering 2015(1),p. 684094
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.
關鍵字
語言 en_US
ISSN
期刊性質 國外
收錄於 SCI EI Scopus
產學合作
通訊作者
審稿制度 否
國別 GBR
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/127293 )