首页    期刊浏览 2024年10月05日 星期六
登录注册

文章基本信息

  • 标题:Study on Optimal Tuning of PID Autopilot for Autonomous Surface Vehicle
  • 本地全文:下载
  • 作者:Kanako Kobatake ; Tadatsugi Okazaki ; Masakazu Arima
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:21
  • 页码:335-340
  • DOI:10.1016/j.ifacol.2019.12.329
  • 语种:English
  • 出版社:Elsevier
  • 摘要:An autonomous surface vehicle (ASV) is developed to support the research on autonomous underwater vehicles. The ASV is required to exhibit route tracking that traces an underwater vehicle. To improve the tracking control accuracy of an ASV, its control gain must be optimized. Therefore, a tuning method that optimizes the PID control gain for tracking control is introduced herein. First, the gain is obtained from describing function method and Ziegler–Nichols’ ultimate gain method. Next, an evaluation function that focuses on the tracking control is created. Subsequently, the gains are optimized for tracking control using the evaluation function. A tank test using an actual surface vehicle is performed and the results demonstrate the effectiveness of the proposed method.
  • 关键词:KeywordsPID controlgain enhancement methodsautonomous vehicletracking systemship control
国家哲学社会科学文献中心版权所有