群控电梯调度效率优化设计

Optimization Design on Group Control Elevator Scheduling Efficiency

在对电梯群控系统的结构特性、工作原理以及该技术最新发展概况综述的基础上,对电梯群控系统研究中的控制算法、控制策略的采用、实施的效果和存在的问题等进行了详细分析。群控电梯调度效率的优化旨在提高电梯组的工作效率和降低能耗,传统逻辑控制算法控制效果不够理想,而随着人工智能算法的出现,将智能算法应用到群控调度策略将成为一种趋势。针对可编程逻辑控制器计算能力偏弱,而传统的智能算法计算量过于庞大难以与控制器相结合的问题,设计基于蚁群算法的控制策略,通过对比传统的调度策略体现出该算法的优势,在实物仿真系统上的验证实现证明了基于可编程逻辑控制器的智能调度策略的有效性和可行性。

This paper .summarizes the strucural characteristics, operating principle of elevator group control system and the latest development situation of this technology, and analyzes in depth the application, implementation effectiveness and existing problems of control algorithm and control strategy in elevator group control system. The optimization of elevator group control dispatching efficiency is to improve the work efficiency and reduce energy consunlption of the elevator group. The control effect of traditional logic control algorithm is not ideal, the gradual development of the artificial intelligence algorithm makes its application in group control scheduling policy become a trend. For these problems that the calculation ability of progranmlable logic controller is weak, and the traditional intelligent algorithm is difficult to combine with a controller because of too heavy calculation amount, the control strategy based on ant colony algorithm is designed. Comparing with the traditional scheduling policy, this algorithm has significant superiority. The experimental results of physical simulation system prove the effectiveness and feasibility of intelligent scheduling strategy based on progranmmable logic controller.