Research On Multi-car Elevator Control Method

With the development of high-rise buildings and intelligent buildings, the elevator as a vertical transport is used more widely, the elevator service quality is also put forward higher requirements, the traditional single-car elevator system is difficult to meet the growing traffic demand in high buildings.A new elevator system-"One shaft,multi-cars" elevator is the new way of vertical transportation in the world. It can raise transportation efficiency, save area and energy, reduce construction cost.Multi-car elevator system can improve traffic efficiency to increase the car in the same elevator shaft. In this paper, for multi-objective optimization problems of Multi-car elevator control system, discussed the system safety properties and optimization scheduling strategies of the multi-car elevator system.Proposed a method based on EVALPSN (Extended Vector Annotated Logic Program with Strong Negation),which is constructed by formalizing the system safety properties to be secured,and an optimization scheduling strategy has been put forward based on improved GNP.This research has an important practical value and a broad application prospect.This main work of this paper is as follows:(1)The relevant information at home and abroad is searched first, then confirms the researching task, combined with the multi-car elevator control system technology development trend, summarizes the existing multi-car elevator control algorithm, last designs the research program of the EVALPSN and the improved GNP to solve avoiding collisions and multi-objective optimization problems of multi-car elevator system.(2)Description the high-rise building composed of three-dimensional transport system, focusing on high-rise building three-dimensional traffic system of traffic configuration.(3)Discuss the characteristic of multi-car elevator control system,propose the comprehensive evaluation function which to reduce the weighted average of the waiting time, the average rising time and the energy consumption. According to different traffic mode to adjust the three weighting coefficients, establish the multi-objective optimization model of the elevator group control system.(4)The multi-car elevator system is the new way of vertical transportation. It is the most important safety problem to avoid the cars collision. In this paper, A method has been put forward based on EVALPSN (Extended Vector Annotated Logic Program with Strong Negation), which is constructed by formalizing the system safety properties to be secured. The EVALPSN clauses has been built up, a three-car circulatory multi-car elevator system been taken as an example, the simulation has been done, the results proved the feasibility. It can guarantee the safety of multi-car elevator control system.(5) In this paper, further researched multi-car and multi-objective optimization, discussed how to select fitness function, population initialization and set GNP notes. By mean of selection, crossover and mutation, researched GNP optimization performance of multi-car and multi-objective. Then, an optimization scheduling strategy has been put forward based on improved GNP, which with the waiting time, taking time, passenger numbers and energy cost as optimization objective. The simulation has been done, and compared with the traditional GNP, the results has proved improved GNP optimization scheduling of multi-car and multi-objective is feasible and superior.(6) Summarize the study of this paper, and make a prospect to the next research.