多轿厢电梯的控制方法研究

发布时间：2018-01-15 22:00

本文关键词：多轿厢电梯的控制方法研究　出处：《沈阳建筑大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着高层建筑和智能建筑的不断发展,电梯作为建筑物内的垂直运输工具,得到了越来越广泛的应用。人们对电梯服务质量的要求也越来越高,传统的单轿厢电梯已经很难满足现代高层建筑的交通需求。一种新型的“一井多梯”多轿厢电梯系统,通过在一条电梯井道内增加电梯轿厢数量来提高电梯的运载效率,是当前国际上解决高层建筑输送效率、减小占地面积、节约能源和减少建筑成本的最新方式。本文针对多轿厢电梯系统的多目标优化问题,探讨了多轿厢电梯系统的安全验证算法和优化控制策略,提出了一种基于带有强否定的扩展矢量注解的逻辑规划的安全验证方法以及一种基于改进的遗传网络规划的优化调度算法,课题研究具有重要的实用价值和广泛的应用前景。本论文主要工作如下：(1)查阅了国内外相关论文资料,明确了课题研究的任务,结合多轿厢电梯控制技术的国内外发展趋势,制定了基于EVAPLSN和改进的GNP算法对多轿厢电梯控制系统进行安全验证和优化调度的课题研究方案。(2)探讨了多轿厢电梯系统的系统构成,根据电梯轿厢运行方式的不同将多轿厢电梯系统分为双层轿厢电梯系统、循环式多轿厢电梯系统和单井道多轿厢电梯系统。(3)研究了多目标优化数学模型,提出了减少平均候梯时间、减少平均乘梯时间以及降低系统运行能耗三个控制目标,建立了循环式多轿厢电梯控制系统的多目标优化模型。(4)针对循环式多轿厢电梯系统的避撞问题,根据循环式多轿厢电梯控制系统的轿厢安全运行准则,分析了循环式多轿厢电梯系统的避撞控制问题,研究了基于带有强否定的扩展矢量注解的逻辑规划方法。提出了一种电梯轿厢安全避障新算法,建立了禁止轿厢危险运行的EVALPSN算式。从而避免了派梯中所选轿厢在井道中发生碰撞。通过实例仿真验证了所提方法的可行性、有效性,能够保证循环式多轿厢电梯控制系统的安全运行。(5)针对多轿厢电梯多目标优化问题进行深入研究,探讨了电梯优化调度控制系统的适应度函数选取、种群初始化和GNP节点设置问题,并通过选择、交叉、变异算法计算,研究了GNP对于多轿厢多目标的优化性能,以候梯时间、乘梯时间、系统能耗为目标,提出一种基于改进的GNP的多轿厢电梯优化调度算法及策略,对比改进前的GNP算法,进行了实验仿真分析,实验结果验证了改进后的GNP新方法的有效性,对多轿厢多目标优化的可实现性和优越性。(6)对本文研究工作进行了总结,并对下一步工作进行了展望。
[Abstract]:With the continuous development of high-rise buildings and intelligent buildings, elevators as a vertical means of transport in buildings, has been more and more widely used. The traditional single-car elevator has been difficult to meet the traffic needs of modern high-rise buildings. A new type of "one well, multiple ladder" multi-car elevator system. Increasing the number of elevator car in an elevator shaft to improve the lift transportation efficiency is the international solution to the transport efficiency of high-rise buildings and reduce the area of land. Aiming at the multi-objective optimization problem of multi-car elevator system, this paper discusses the security verification algorithm and optimal control strategy of multi-car elevator system. A security verification method for logic programming based on extended vector annotations with strong negation and an optimal scheduling algorithm based on improved genetic network planning are proposed. The main work of this paper is as follows: 1) consulted the domestic and foreign related papers data, defined the task of the subject research. Combined with multi-car elevator control technology development trend at home and abroad. Based on EVAPLSN and improved GNP algorithm, the research scheme of safety verification and optimal scheduling for multi-car elevator control system is established. (2) the system structure of multi-car elevator system is discussed. According to the different operation modes of the elevator car, the multi-car elevator system is divided into the double-deck car elevator system, the circulating multi-car elevator system and the single-well multi-car elevator system. The mathematical model of multi-objective optimization is studied. Three control objectives are proposed: reducing the average waiting time, reducing the average riding time and reducing the energy consumption of the system. The multi-objective optimization model of circulatory multi-car elevator control system is established. Aiming at the collision avoidance problem of circulatory multi-car elevator system, the safe operation criterion of the control system of circulatory multi-car elevator is established. In this paper, the collision avoidance control problem of cyclic multi-car elevator system is analyzed, the logic programming method based on extended vector annotation with strong negation is studied, and a new algorithm for safe obstacle avoidance of elevator car is proposed. The EVALPSN formula is established to prevent the dangerous operation of the car. Thus the collision of the car selected in the ladder is avoided. The feasibility and effectiveness of the proposed method are verified by an example. To ensure the safe operation of the multi-car elevator control system, the multi-objective optimization problem of the multi-car elevator is studied in depth, and the fitness function selection of the elevator optimal dispatching control system is discussed. Population initialization and GNP node setting problem, and through the selection, crossover, mutation algorithm calculation, the GNP for multi-car multi-objective optimization performance, to wait for the ladder time, ladder time. For the purpose of energy consumption of the system, a multi-compartment elevator optimal scheduling algorithm and strategy based on improved GNP is proposed. Compared with the GNP algorithm before the improvement, the experimental simulation analysis is carried out. The experimental results verify the effectiveness of the improved GNP method. The realizability and superiority of multi-car and multi-objective optimization are summarized and the future work is prospected.
【学位授予单位】：沈阳建筑大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TU857

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