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混沌模糊交通控制器的设计
引用本文:张立东,贾磊,赵建玉,史永. 混沌模糊交通控制器的设计[J]. 南京理工大学学报(自然科学版), 2005, 29(Z1): 203-205
作者姓名:张立东  贾磊  赵建玉  史永
作者单位:1. 山东省计算中心,山东,济南,250014
2. 山东大学,控制科学与工程学院,山东,济南,250061
3. 济南大学控制学院,山东,济南,250022
摘    要:为了克服传统模糊控制输入难以确定的问题,改善模糊控制器的性能,提出了混沌模糊控制器的设计方法,并给出了仿真实例。介绍了混沌预测的原理,给出了实现混沌预测的算法步骤和模糊控制器的设计方法,将混沌预测的输出结果作为模糊控制器的输入,模糊控制器经过模糊化,模糊推理,解模糊一系列的运算过程,得到的结果再与比例因子相乘,得到信号灯的相位时间,仿真结果表明:混沌模糊控制器比传统的模糊控制器性能得到很大的改善。其中,平均停车次数减少30%,平均车速提高18%,车辆平均延误时间减少40%。

关 键 词:混沌预测  模糊控制器  仿真
文章编号:1005-9830(2005)S0-0203-03
修稿时间:2005-06-15

Design of Chaos and Fuzzy Traffic Controller
ZHANG Li-dong,JIA Lei,ZHAO Jian-yu,SHI Yong. Design of Chaos and Fuzzy Traffic Controller[J]. Journal of Nanjing University of Science and Technology(Nature Science), 2005, 29(Z1): 203-205
Authors:ZHANG Li-dong  JIA Lei  ZHAO Jian-yu  SHI Yong
Affiliation:ZHANG Li-dong~1,JIA Lei~2,ZHAO Jian-yu~3,SHI Yong~1
Abstract:This paper is concentrated on the implementation of chaos fuzzy controller that can avoid the shortcomings of the traditional fuzzy controller and improve its accuracy.This paper introduces the theory of chaos prediction and listes out its algorithm steps,and the procedure of implementing a fuzzy controller.Taking the output of chaos prediction as the input of fuzzy controller,and after the fuzzification,fuzzy inference,and defuzzification,and multiplying the result with the proportional factor,the traffic light's phase time was got.The simulated results show that the chaos fuzzy controller is superior to the traditional fuzzy controller.The average stop frequency decreased by 30 percent.The average speed increased by 18 percent.The average delay time decreased by 40 percent.
Keywords:chaos prediction  fuzzy controller  simulation
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