摘要
随着在工业、农业等领域中自动化程度的不断增长,自动导航小车(简称AGV)在各领域的作用也相应提高。考虑到自动导航小车会在各种环境中工作,本文为此研究设计了一个积极而有效的控制器——自组织模糊控制器。我们采用在非最佳状态下使用遗传算法来调节隶属函数的方法,通过自校正和控制规则的产生提高了控制效率。
With the increasing of automatic degree in the fields of industry and agriculture, automatic guided vehicle (AGV) plays more important roles in various fields. Considered AGV works in different circumstances, this paper is about an active and effective controller that can be fit for the different circumstances——self-organizational fuzzy controller. To construct it, we have tuned subop- timally the membership function using a genetic algorithm and improved the control efficiency by self- correction and the g...
出处
《微计算机信息》
北大核心
2008年第10期78-80,共3页
Control & Automation
基金
江苏省高校自然科学基金(02KJD510003)
关键词
AGV
自组织
模糊控制
AGV
self- organization
fuzzy control
