作　　者： ; ; (郑永康）;

机构地区： 杭州电子科技大学计算机学院智能与软件技术研究所

出　　处： 《机电工程》 2013年第8期942-946,共5页

摘　　要： 针对模糊推理获取电梯群控指标可信度时缺乏学习性的缺点,引入了人工鱼群算法用于决策函数的多元线性回归曲线的优化。呼梯信号和电梯运行信息经采集与计算,得到了厅层召唤等待时间(HCWT)、厅层召唤最大等待时间(maxHCWT)、剩余响应能力(CV)和召唤集中程度(GD)这4个输入变量,经模糊推理获取了平均候梯时间(AWT)、乘客长候梯率(LWP)和能量消耗(RNC)3个群控指标的可信度值,并以此为样本训练人工鱼群,获得了决策函数。经决策函数计算得到的群控指标可信度值,再与由客流交通模式决定的指标加权系数进行线性平均,以此作为目标评价函数进行电梯群控调度,实现了对电梯运行效率和节能的多目标控制。经电梯群控仿真平台评测,实验结果表明优化后的群控调度算法能明显改善群控指标。 Aiming at the shortcoming of lack of learning ability for fuzzy inference to obtain the index reliabilities of elevator group control, the artificial fish-swarm algorithm was led into optimize the multiple linear regression curve of the decision function. Four input variables： hall call wait time（HCWT）, maximum of HCWT（maxHCWT）, capacity of validation（CV） and group density （GD） could be gotten through the collection and calculation of call signals and running signals of elevators, and the three index reliabilities of elevator group control： average wait time （AWT）, long-time wait percentage （LWP）and energy consumption （ENC）could be gained by fuzzy inference with these input variables. The artificial fish-swarm was trained with these three index reliabilities as samples to gain the decision function, which could be used to calculate the index reliabilities, and then be taken to linear weighted mean with the weighting coefficients which was determined by passenger traffic mode. This formula was taken as the objective evaluation function of elevator group control to reach the muhi-objective control of running efficiency and energy-saving. Evaluated by the elevator group control simulation platform, the results indicate that the optimized scheduling algorithm can improve obviously the indexes of elevator group control.

关 键 词： 电梯群控 调度算法 鱼群算法 模糊推理 多目标控制 优化

领　　域： [建筑科学] [自动化与计算机技术] [自动化与计算机技术]