公路隧道前馈式模糊通风控制系统及仿真  

Feed-forward Fuzzy Ventilation Control and Simulation of Road Tunnel

作　　者：陈雪平[1] 胡刚[1] 曾盛[2] 邵于宁[1] 傅惠[1] 

机构地区：[1]广东工业大学,广州510006 [2]广东省公路勘察规划设计院,广州510507

出　　处：《交通与计算机》2008年第4期78-83,共6页Computer and Communications

基　　金：广东省交通厅科技项目(批准号:2005-7)资助

摘　　要：将前馈式智能模糊控制应用于公路隧道通风控制系统中,以模糊逻辑专家控制经验作为控制的知识模型,以模糊集合、模糊语言变量以及模糊逻辑推理作为控制算法的数学工具,对通风系统实施前馈式模糊控制。仿真测试结果表明,与普通的前馈式控制相比,在相同的条件下,将显著降低隧道通风控制中电能的消耗,减少运营成本。The feed-forward intelligent fuzzy control was applied to road tunnel ventilation system. With fuzzy logic expert＇s control experience as knowledge model, and with fuzzy aggregate, fuzzy language variable, and fuzzy logic reasoning as mathematics tools, feed-forward fuzzy control was applied to ventilation system. The simulation result shows that this method can reduce more energy resources than the normal control at the same condition, thus reducing the cost in operation.

关 键 词：公路隧道 前馈式通风 模糊控制 仿真 

分 类 号：U459.2[建筑科学—桥梁与隧道工程]