USV Course Controller Optimization Based on Elitism Estimation of Distribution Algorithm

被引：0
|
作者：
Xu, Qingyang [1 ]
机构：
[1] Shandong Univ Weihai, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China
来源：
2014 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2014年
关键词：
Estimation of distribution algorithm; USV; PID; Global optimization; Nomoto; GENETIC ALGORITHM;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
PID controller is used in most of the course-keeping closed-loop control of Unmanned Surface Vehicle (USV). However, the parameters of PID are difficult to tuning. In this paper, we adopt an elitism estimation of distribution algorithm (EEDA) to optimize the PID, which makes use of the probabilistic model to estimate the optimal solution distribution. It has a better global searching ability. A linear Nomoto model is adopted to simulate the USV, and the PID controller is used to control the course of the USV. The simulation results exhibit the validity of the EEDA.
引用
收藏
页码：958 / 961
页数：4
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