基于目的层预约的改进型粒子群电梯群控调度策略  

Novel particle swarm optimization policy in destination registration elevator group control system

作　　者：许玉格[1] 宋亚龄[1] 罗飞[1] 赵小翠[1] 

机构地区：[1]华南理工大学自动化科学与工程学院,广东广州510641

出　　处：《北京交通大学学报》2012年第5期134-138,共5页JOURNAL OF BEIJING JIAOTONG UNIVERSITY

基　　金：广州市珠江科技新星项目资助(2011J2200084);中央高校基本科研业务费专项资金资助(20112M0126);广东省自然科学基金博士启动项目资助(9451064101002853);广东省自然科学基金项目资助(SZ011010001153)

摘　　要：针对单一粒子群算法的派梯策略优化运算过程中容易陷入局部极值点的状况,结合模拟退火理论,提出一种改进型的粒子群电梯群控派梯策略,应用到目的层预约的电梯群控系统中.通过仿真和对比试验可知,基于目的层预约的电梯群控系统能有效地提高服务的各项指标,改进型的粒子群电梯群控调度策略可有效减小乘客候梯时间和电梯启停次数,改善电梯运行性能.Aiming at the difficulty to get complete information in the traditional elevator control system,this paper introduces a novel elevator group control system with destination registration,and analyzes the features and advantages of this novel system in detail.Particle swarm optimization algorithm is one kind of optimal algorithms,but it is easily trapped into local minima.In this paper,We propose an improved particle swarm optimization algorithm based on simulated annealing algorithm and apply it to the elevator group control system with destination registration.The simulation results show that the elevator group control system with destination registration can improve the elevators service quality,and the elevator system with the improved particle swarm optimization algorithm can reduce the passengers＇ waiting time and on-off time effectively.

关 键 词：目的层预约 电梯群控系统 粒子群 模拟退火 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]