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提高模糊控制器稳态精度的研究
引用本文:白连平,陈秀真,赵韶,苏彦民.提高模糊控制器稳态精度的研究[J].西安交通大学学报,2001,35(2):119-123.
作者姓名:白连平  陈秀真  赵韶  苏彦民
作者单位:西安交通大学电气工程学院,
摘    要:为了提高模糊控制器的稳态精度,对模糊推理算子进行了研究,利用概率算子所推得的模糊控制表控制精度较高。在Mathematic环境下,实现了模糊推理的程序化,为模糊控制的研究提供了条件,并给出了增加量化论域的典型模糊控制器的制表。最后,研究了隶属函数的分布对控制的影响,发现均匀分布的隶属函数所推得的控制表控制效果较好。仿真结果表明,模糊量化论域的稳态控制精度明显提高。

关 键 词:模糊控制  模糊推理  模糊逻辑算子  控制系统  模糊控制器
文章编号:0253-987X(2001)02-0119-05
修稿时间:2000年7月13日

Improved Stability Precision of Fuzzy Controller
Bai Lianping,Chen Xiuzhen,Zhao Shao,Su Yanmin.Improved Stability Precision of Fuzzy Controller[J].Journal of Xi'an Jiaotong University,2001,35(2):119-123.
Authors:Bai Lianping  Chen Xiuzhen  Zhao Shao  Su Yanmin
Abstract:In order to improve the stability precision of the fuzzy controller,fuzzy reasoning operator is studied and it is found fuzzy control table which is inferred by using probability operator is of high control precision. Under the environment of Mathematiocs,the program of the fuzzy reasoning is achieved. It offers the convenient conditions for the research of fuzzy control,provides the control table of typical fuzzy controller, and increases the quantity field. The influence of the distribution of membership function on the control table is studied, and it is found the data in the control table that produced by uneven membership function is fluctuant.The result of simulation shows that the stability control precision is obviously improved by increasing fuzzy quantity fields.
Keywords:fuzzy control  fuzzy reasoning  fuzzy logic operator
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