引用本文: | 李晓理,王志磊,刘德馨,王尚君.多模型电梯群控的自寻优策略[J].控制理论与应用,2014,31(3):366~374.[点击复制] |
LI Xiao-li,WANG Zhi-lei,LIU De-xin,WANG Shang-jun.Self-optimal strategy for elevator group control based on multiple models[J].Control Theory and Technology,2014,31(3):366~374.[点击复制] |
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多模型电梯群控的自寻优策略 |
Self-optimal strategy for elevator group control based on multiple models |
摘要点击 2725 全文点击 3345 投稿时间:2013-07-05 修订日期:2013-11-14 |
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DOI编号 10.7641/CTA.2014.30677 |
2014,31(3):366-374 |
中文关键词 电梯群控系统 自寻优 多模型 |
英文关键词 elevator group control system self-optimal multiple model |
基金项目 新世纪优秀人才支持计划资助项目(NCET–11–0578); 国家自然科学基金资助项目(61074055); 中央高校基本科研业务费专项资金资助 项目(FRF–TP–12–005B); 高等学校博士学科点专项科研基金(博导类) (20130006110008). |
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中文摘要 |
本文对大量电梯实际运行数据进行分析, 将电梯的运行模式分为上行高峰模式、层间交换模式、下行高峰
模式和空闲模式等4种情况. 根据多模型控制的思想, 对不同的交通模式, 设计不同权值的评价指标函数, 构成多模
式自寻优控制器. 在多个控制策略的基础上, 采用神经网络构成切换机制, 给出电梯群控多模型控制器. 我们在电
梯群控仿真平台上进行了验证, 结果显示了本文提出算法的有效性. |
英文摘要 |
Based on the running data of a large number of elevators, the running modes of elevators can be classified
into four classes: up–running summit mode, level exchanging mode, down–running summit mode and leisure time mode.
According to the idea of multiple-model control, different weights of evaluation index function are designed based on
different running modes and multiple self-optimal controllers are developed based on multiple control strategies, and the
neural network is employed as the switching mechanism for selecting the appropriate controller for individual elevator. The
proposed method is proposed method. |
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