新型变论域模糊控制器在交通信号控制中的应用

在双模糊控制器协调控制交通信号的基础上,针对模糊控制中论域范围选择和隶属度函数在论域中合理分布的难题,改善通过函数模型获得输入输出变论域伸缩因子的方法,提出一种采用模糊推理来替代函数模型,根据输入输出量的大小来相应改变模糊控制器的输入输出变量的论域范围的新算法。仿真结果表明,与传统的基于函数模型的变论域模糊控制器相比较,此方法避免了基于函数模型的变论域模糊控制器的函数系数和模型参数选择上的困难,更加方便地实现了控制器自调整和自适应,并大大减小了车辆平均延误时间,为车队更顺畅地通过交叉路口提供了保证。

New Type of Adaptive Fuzzy Controllers Based on Variable Universe in Application of Traffic Signal Control

Based on the dual fuzzy controllers which are responsible for traffic signal control, with regard to troubles noted in fuzzy control such as universe width determination and rational distribution of membership functions within the universe of the discourse, in order to improve the scheme that acquires the scaling factors both for input and output variables, a new algorithm, according to the values of input and output variables, to achieve the varying universe widthes by means of fuzzy inference in place of function models was proposed. All simulation results prove that this new algorithm is more able to solve the problems, such as the difficulties of the determination upon function coefficients and model parameters than the fuzzy controllers with variable universe based on function models, and realizes the self-tuning and self-adaptiveness of controllers as well. As a result, it not only reduces the average delay time each vehicle, but also secures the smoother vehicle passthrough than before.