摘要
介绍了变论域自适应模糊控制器的基本思想,并且利用这种模糊控制理论———模糊控制中一个比较经典的问题,对倒车问题进行了仿真实验,其效果和普通模糊控制下的倒车仿真实验效果进行了比较.结果表明,变论域自适应模糊控制器具有相当的普适性,控制灵敏且几乎无超调.
Truck backer-upper problem(TBU), considered as an acknowledged benchmark in nonlinear system identification, is an excellent test-bed for fuzzy control systems. In this paper, another tool, variable-universe fuzzy controller, is introduced in the advanced automation toolbox. As an example of the application of this technology, a variable-universe fuzzy control system that automatically backs up a truck to a specified track is developed. Compared with the standard fuzzy controller, variable-universe fuzzy controller turns out to be readily responsive, extremely accurate, and widely applicable.
出处
《北京师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2005年第4期348-350,共3页
Journal of Beijing Normal University(Natural Science)
基金
国家自然科学基金资助项目(60174013)
教育部博士点基金资助项目(20020027013)
教育部科学技术重点项目(03184)
国家重大基础研究规划资助项目(2002CB312200)
关键词
非线性系统
倒车
变论域自适应模糊控制器
仿真
nonlinear system
truck bucker-upper
variable-universe adaptive fuzzy controller
simulation