摘要
本文对电梯群控系统输入的交通数据进行了分析,通过模糊识别把输入的交通特征量区分出四种交通模式。本文对厅层信号控制进行了重点的研究,对系统中的输入变量的选择进行了对比、分析,从而选择出了比较恰当的隶属函数。在算法的设计中还考虑到交通模式对本文提出的三个程度函数权重的影响,最终提出了基于模糊控制的电梯群控方法。设计了一个综合评价函数来衡量电梯群控系统的运行。通过控制相应的三个程度函数(平均等待时间、平均乘梯时间和能量消耗),达到乘客满意,系统节能的目的。论文最后对所设计的电梯群控算法进行计算机仿真,仿真结果验证了算法的可行性。
The paper introduce traffic pattern and the traffic pattern identifying method of elevator group control system. By disposing the data, the traffic singal were divided into four traffic model. The paper emphasized the hall control signals. By analying and contrasting of input variable a suitable membership function was choosen. Influence of the traffic model to three membership function right heavy was also considered in designing the algorithm. Ultimately the algorithmic of elevator group control based on fuzzy control was indicated.And also synthesis evaluate function was designed to scale the running of the system. By controlling the three degree function corresponding （average latency time, average system energy was saved. Finally ,the computer emulation of the emulation result was verified. ride ladder time and energy consume）, passengers were satisfaction and the elevator group control arithmetic was emulated and the feasibility of
出处
《微计算机信息》
北大核心
2006年第05S期51-53,共3页
Control & Automation
基金
黑龙江省教育厅科学技术研究项目编号:(10541248)
关键词
电梯群控算法
通模式识别
综合评价函数
elevator group control arithmetic
traffic mode recognize
Synthetical
