摘要
该文提出了一种变论域模糊自适应PID控制方法,利用变论域思想,设计了一种基于模糊规则的伸缩因子控制器,动态地调整模糊控制器的量化因子和比例因子。利用MATLAB的RTW/RTWT功能在实验室的数字随动系统上分别对PID控制、模糊PID控制、变论域模糊PID控制三种方法进行了实验对比,结果表明变论域模糊PID控制方法超调量小,调节时间短,具有更好的动态响应性能和自适应能力。
A variable universe fuzzy adaptive PID control method is proposed in this paper.By using the idea of variable universe,a scaling factor controller based on fuzzy rules is designed to dynamically adjust the quantization factor and scale factor of the fuzzy controller.With the RTW/RTWT function of Matlab, experimental comparison is carried out among the three methods of PID control,fuzzy PID control and variable universe fuzzy PID control in the digital servo system of the laboratory.The results show that the variable universe fuzzy PID control method has smaller overshoot,shorter adjustment time,better dynamic response performance and adaptive ability.
作者
高岩
唐路
陆伟敏
GAO Yan;TANG Lu;LU Weimin(Automation College,Beijing Institute of Technology,Beijing 100081,China)
出处
《实验技术与管理》
CAS
北大核心
2019年第7期24-28,共5页
Experimental Technology and Management
