电梯群控并行系统研究

发布时间：2018-03-21 06:30

本文选题：电梯群控　切入点：FPGA　出处：《东北大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着城市化的发展,城市中高层建筑越来越多,为了提高服务水平和保证可靠性,一座高层建筑中经常配置多台电梯。如何实现对多台电梯进行优化控制,正越来越成为各大电梯公司和高校关注的重要课题。电梯群控系统(EGCS)控制的难点在于电梯群控系统的多目标性、不确定性、非线性、扰动行和信息的模糊性。同时又要求本身具有高的实时性、稳定性和安全性。本文研究课题来源某公司电梯群控项目,从减少乘客候梯时间和系统能耗为出发点,以8台64层电梯为研究对象,设计电梯群控并行系统,主要研究如下：首先,阐述了选题背景,介绍了近年来在国内外电梯群控系统的研究现状,详细叙述所使用的微处理器FPGA并行计算技术,并阐述了本文研究的目的和意义及本文研究研究的主要内容。其次,设计电梯群控并行系统结构的基础上,重点分析了电梯群控系统的特征、交通模式和特征值。针对电梯群控系统的随机性、非线性、扰动性、模糊性和多目标性等问题的分析,说明了电梯群控系统是个复杂的控制系统。扼要介绍了电梯运行中的上行高峰、下行高峰、均衡交通和空闲交通等不同交通模式及其特征。提出了电梯群控系统影响派梯的主要特征值。再次,针对电梯群控并行系统建立数学模型的问题结合模块化思想构造出动态优化算法、指标函数和模糊推理。其中指标函数模块分为候梯时间函数模块和系统能耗模块。在基于此并行算法模块的基础上,设计了各种交通流模式识别和调度算法,并详细设计了电梯群控并行系统动态优化实现的具体步骤。然后,设计了电梯群控并行系统的硬件和软件,并且软件进行了RTL级仿真验证。最后,为了验证本文方法的控制效果,设计了Labview上位机监控界面和matlab的群控算法仿真,并且在电梯测试平台上进行了电梯群控系统测试,验证了电梯群控并行系统的有效性和实性。
[Abstract]:With the development of urbanization, there are more and more high-rise buildings in cities. In order to improve service level and ensure reliability, many elevators are often deployed in a high-rise building. The difficulty of EGCSs control lies in the multi-objective, uncertainty and nonlinearity of the elevator group control system. The fuzziness of disturbance and information. At the same time, it is required to have high real-time, stability and security. In this paper, the elevator group control project of a certain company is studied, starting from reducing passenger waiting time and system energy consumption. Taking 8 elevators on 64 floors as the research object, the paper designs the elevator group control parallel system. The main research is as follows: firstly, the background of the selected topic is expounded, and the research status of elevator group control system at home and abroad in recent years is introduced. The parallel computing technology of microprocessor FPGA is described in detail, and the purpose and significance of this paper and the main contents of this study are described. Secondly, the structure of elevator group control parallel system is designed. The characteristics, traffic modes and eigenvalues of elevator group control system are analyzed, and the randomness, nonlinearity, disturbance, fuzziness and multi-objective of elevator group control system are analyzed. The elevator group control system is a complex control system. Different traffic modes such as balanced traffic and idle traffic and their characteristics are proposed. The main characteristic values of elevator group control system affecting the distribution of ladders are proposed. To solve the problem of establishing mathematical model of elevator group control parallel system, a dynamic optimization algorithm is constructed with modularization idea. Index function and fuzzy inference. The index function module is divided into the time function module and the system energy consumption module. Based on the parallel algorithm module, various traffic flow pattern recognition and scheduling algorithms are designed. Then, the hardware and software of the elevator group control parallel system are designed, and the software is verified by RTL level simulation. In order to verify the control effect of this method, the Labview monitor interface and the group control algorithm simulation of matlab are designed, and the elevator group control system is tested on the elevator test platform, which verifies the effectiveness and reality of the elevator group control parallel system.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TU857

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