【作者】 周杰；

【导师】 朱明富；

【作者基本信息】 华中科技大学 ， 系统工程， 2009， 硕士

【摘要】 随着当今大型建筑物的不断发展,其内部的交通状况越来越复杂,独立的电梯已经不能胜任大楼内的交通任务。于是人们开始研究电梯群控技术,这种技术将几部电梯组成电梯群进行统一调度。目前,国内外对电梯群控系统的研究越来越广泛。电梯群控系统中存在着大量的非线性、不确定性等,在其发展初期一般的控制方法还能适用。但现今,电梯的应用不断增多,人们对电梯的服务提出的要求也越来越高,传统的控制方法已经不能起到很好的效果。于是,人们将近些年发展很快的人工智能技术应用到电梯群控系统中。如模糊控制,它能够解决那些对被控对象无法建立精确模型甚至无法建模的控制问题。另外,模糊控制依赖于知识库,非常接近人的思维,能使问题得到更有效的控制。本文在分析电梯群控发展过程的基础上讨论了人工智能技术在电梯群控系统中的应用前景,并结合电梯群控系统的一些特点指出了其中影响系统整体性能的一些因素,这些因素都是在系统进行调度时重点优化的目标。为了研究和建模的需要,本文对一般大楼内的交通客流情况进行了分析并将其分成了几种模式,然后讨论了利用模糊逻辑对交通模式进行辨识的过程,在此基础上探讨了模糊控制在群控调度中的应用。最后进行的仿真表明,将模糊控制应用在群控系统中能改善系统的性能,提高系统的服务质量。更多还原

【Abstract】 With the development of the large-scale construction nowadays, the traffic in a large building has become more and more complex and the single elevator has been not competent for the transport missions. So, the research of elevator group control is been started. This technique combines several single elevators into elevator group and dispatches them all together. The research of elevator group control system has been widely carried out at home and abroad at present.A large number of nonlinearities and uncertainties exist in the elevator group control system. The traditional control methods can be used at the early stage of its development. With more and more applications of elevator and the higher and higher requirement of people when they take lift, the traditional control methods have been not able to achieve the goal very well. So, the technique of artificial intelligence which is developing at a high speed in recent years is applied to the elevator group control system. For example, the technique of fuzzy control can solve many problems in which we can’t build the model or the accurate model of the controlled objects. Otherwise,the technique of fuzzy control depends on repository and it is close to the thoughts of human .We can deal with problems more efficaciously by this technique.Based on the analysis of the development of the elevator group control system, this thesis has discussed the prospect of the application of artificial intelligence to the elevator group control system. According to some characteristics of the elevator group control system, this thesis points out the factors that influence the population performance of the system. These factors are the mainly optimized factors in the course of group control. For the need of research and modeling, this thesis analyses traffic circumstance in a building and divides it into several kinds of pattern and mainly discusses the application of fuzzy control to the traffic pattern recognition. Base on this, this thesis discusses t the application of the fuzzy control to the group control and dispatch .The results of simulation indicate that the application of fuzzy control to elevator group control system can improve the whole performance and the quality of its services evidently.更多还原