基于模糊决策的路灯智能控制方法研究

Research on the Method of Street Lights Intelligent Control Based on Fuzzy Decision

该文针对传统照明方式控制方式单一、电能浪费严重的现象,将模糊决策理论应用于路灯控制系统,提出一种智能的路灯照明控制方法。并采用遗传算法对模糊控制器的隶属度函数进行在线寻优,以避免因专家经验的主观性和现有数据的滞后性对模糊控制系统造成的影响,可以使系统期望输出值的收敛速度更快,通过实时的调整路灯亮度,最终实现在不影响照明效果的前提下尽可能的减少对电能的消耗。

The traditional lighting control method is simple and makes serious waste of energy.To avoid these problems,an intelligent control method based on the fuzzy decision theory is applied to the street lights control system.By online optimization of fuzzy controller membership functions using genetic algorithms,the method can avoid the impact of the experts＇ expertise subjectivity and existing data lag.So the system can get faster convergence of desired output value.By real-time adjustment of bright-ness,the system can reduce energy consumption as far as possible while does not affect the lighting effects.