混沌模糊交通控制器的设计

Design of Chaos and Fuzzy Traffic Controller

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%。

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.