基于模糊控制技术的电梯群控仿真算法

Elevator Group Control Simulation Algorithm Based on Fuzzy Control Technology

电梯群控理论旨在增强多台电梯协调运输能力,在优化电梯乘用体验的前提下,兼顾提高运行效率、降低运行能耗的效果。由于电梯群控系统具有多目标性、非线性等特点,本文提出了一种基于模糊控制技术的电梯群控系统,并且在概述系统组成结构的基础上,分别从构建仿真模型、确定系统输入量、变量模糊化处理等方面,分析了模糊控制理论下电梯调度分配的实现方法。最后通过仿真实验对比了在集选控制算法和模糊控制算法下电梯群控系统的运行情况。结果表明,使用模糊控制算法能显著降低候梯时间和减少电梯响应次数,对提高电梯利用率和降低能耗有良好效果。

The theory of elevator group control aims to enhance the coordinated transportation capacity of multiple elevators.On the premise of optimizing the elevator passenger experience,it also takes into account the effects of improving operating efficiency and reducing operating energy consumption.Because the elevator group control system has the characteristics of multi-objective and nonlinear,this paper proposes an elevator group control system based on fuzzy control technology.,variable fuzzification,etc.,the realization method of elevator dispatch assignment under fuzzy control theory is analyzed.Finally,the operation of the elevator group control system under the collective selective control algorithm and the fuzzy control algorithm is compared through the simulation experiment.The results show that the use of fuzzy control algorithm can significantly reduce the waiting time and the number of elevator responses,which has a good effect on improving elevator utilization and reducing energy consumption.