Improved genetic algorithm tuning controller design for autonomous hovercraft
學年 108
學期 1
出版（發表）日期 2020-01-03
作品名稱 Improved genetic algorithm tuning controller design for autonomous hovercraft
作品名稱（其他語言）
著者 HK Tran; HH Son; PV Duc; TT Trang; HN Nguyen
單位
出版者
著錄名稱、卷期、頁數 Processes 8(1), 66
摘要 By mimicking the biological evolution process, genetic algorithm (GA) methodology has the advantages of creating and updating new elite parameters for optimization processes, especially in controller design technique. In this paper, a GA improvement that can speed up convergence and save operation time by neglecting chromosome decoding step is proposed to find the optimized fuzzy-proportional-integral-derivative (fuzzy-PID) control parameters. Due to minimizing tracking error of the controller design criterion, the fitness function integral of square error (ISE) was employed to utilize the advantages of the modified GA. The proposed method was then applied to a novel autonomous hovercraft motion model to display the superiority to the standard GA.
關鍵字 modified GA;fuzzy-PID control;autonomous hovercraft;ISE criterion
語言 en
ISSN 2227-9717
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 否
國別 CHE
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/987654321/122448 )