Research On The Most Optimal Dispatching Strategies Of Elevator Group Control Based On Fuzzy Control Technique

With the continuous increasing of high buildings and the rapid development of intelligent buildings, more and more demands have been brought forward to the elevators that transport the guests in the buildings. Several elevators are installed in a building in order to improve the transportation efficiency and the service quality, and nowadays people pay more and more attention on how to control the elevators validly—elevator group control so it has become a hot issue in research recently. The random city of the transportation and many characters of the elevator group control system, such as many-targets, the uncertainty, the no linearity, the disarrangement and short of maturity in information, make us very difficult to control the elevators, so it is very difficult for us to establish an accurate model of controlled object, and we cannot control the elevators perfectly with traditional technique. Fuzzy control technique has great advantages in resolving the no linearity, indetermination problems. It does not need to establish an accurate model for the problem solved, but it imitate the logical reasoning of person's brain, and can simplify many complicated problems. As a result, the fuzzy control technique was applied to elevator group control, and the research was made on these key problems including, identifying the passenger's transportation pattern and the algorithm of elevator group controls, which will make a positive drive on the study and application of the elevator group control in our country. The paper introduced the running character of fuzzy elevator group control system and the domestic and overseas study actuality briefly. The paper also analyzes the necessity and the feasibility of applying the fuzzy control technique to the elevator group control system, including the identification of the transportation pattern and the algorithms of the elevator group control that are simulated in the paper. The paper analyzes the traffic variableness described traffic characters, and then the traffic componemts and the traffic intensity are regarded as the input variableness of fuzzy reasoning. The fuzzy reasoning rules identifying twelve traffic patterns was summarized. The paper analyzes detailed traditional dispatching algorithm that is short of the veracity and the maturity etc, then a more reasonable new evaluation function is built up. The weight average of the most important four evaluation targets, including the low average waiting time, the low long-time waiting percent, the low riding-power consume, the low average riding time act as the evaluation function. The paper makes a detailed study on realizing the fuzzy reasing of these four control targets, including the choice of new input varieties, the input varieties calculation, the choice of membership functions, and the fuzzy rules table etc. Finally, a simulator model of transportation based on Poisson distributing is established, also the dispatching algorithm of the fuzzy elevator group control syetem is simulated in the text with the C++ language, which is Object Oriented Designed, The simulation result of the fuzzy elevator group control system shows evident decrease on the average waiting time, the long-time waiting percent, the riding-power consume, the average riding time compared to traditional centralizing-select control system. It shows great superior and feasibility for fuzzy elevator group control system.