Multi-objective Optimization Method For Multi-car Elevator System

With the development of cities, more and more high-rise buildings and super high-rise buildings appears. As the only vertical transit system in the buildings elevators has been paid close attention. People need elevators with the higher performance and service, a lift car has been not satisfy for modernization high building in traditional single wells. A new much lift car system with more than a well ladder has been proposed, it increases the carrying efficiency by adding the lift car’s numbers in a lift car, and this is the newest way in the world to solve transport efficiency, decrease floor space, save energy and decrease construction cost. This paper formulates multi-objective optimization for hall call waiting time, riding time, system energy consumption of the multi-lift cars. At the same time this paper discusses the problem for optimizing strategy and safeties of collision avoidance in multi-lift cars, proposes the security verification method with optimizing collision avoidance and a optimization scheduling algorithm based particle swarm ant-genetic algorithm. Research of this subject has significance application prospect and practicability.This main work of this paper is as follows:(1) Check out a large number of domestic and international information, combined with multi-car elevator system control technology trends at domestic and international to develop a multi-car elevator system for optimization of collision avoidance logic programming and PSO-GA hybrid algorithm for secure authentication and optimized scheduling research program.(2) Explores the multi-car elevator system structure, depending on the operating mode of the elevator car multicar elevator system is divided into double-deck elevator system, circulatory multi-car elevator system and a single shaft multi-car elevator.(3) Multi-car elevator system for a multi multi-objective optimization model for the average waiting time, average riding time and energy consumption of the three multi-car elevator control system performance objectives established circulatory multi-car elevator control system for elevators objective optimization model.(4) For collision avoidance problem of circulatory multi elevator system, based on the car safety operation standards circulatory elevator control system, analyzes the avoidance control problem of circulatory multi elevator system, studies the optimization planning method based on collision avoidance logic. Proposed a new safety elevator car obstacle avoidance algorithm, established the optimization of car danger run against collision avoidance formula. To avoid car sent ladder in collision in a shaft. Simulation examples verify the feasibility, the effectiveness of the proposed methodology, to ensure the safe operation of circulating type elevator control system.(5) Multi objective optimization formula is established according to the waiting time, many of the elevator car riding time, the energy consumption of the system three goals, to the waiting time, riding time, the energy consumption of the system as the goal, put forward a scheduling scheme optimization of multi elevator system particle swarm mixed genetic algorithm based on contrast, the traditional genetic algorithm, experiments were carried out for simulation, according to the analysis of the simulation map, simulation diagram shows the results verified the effectiveness of PSO-GA mixed algorithm the new method, the multi-car multi-objective optimization can be realized and the superiority.(6) Summarize the study of this paper, and make a prospect to the next research.