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The Ventilation System Of Urban Utility Tunnel Based On Fuzzy PID Control

Posted on:2019-01-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y F YanFull Text:PDF
GTID:2428330566459529Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of the national economy,a series of problems,such as the harsh urban environment,traffic congestion and waterlogging disasters,are increasingly prominent,which seriously restricts the construction of "beautiful China".How to realize the harmonious unification between urban development and ecological environment and promote the construction of "sponge city" becomes a major problem to be solved.The emergence of urban utility tunnel,which integrates modernization,technology,intensification and ecology,solves many problems such as environmental pollution,traffic congestion and inefficient land use.The ventilation system of urban utility tunnel is the key in the construction of the tunnel,which is a reliable guarantee for the safe,efficient and stable operation of the utility tunnel.Therefore,it is of great practical significance and application value to study and design a safe,reliable and intelligent ventilation system for the tunnel.Based on the experience of building a utility tunnel in Jiangxi Province,and aiming at the characteristics of ventilation system of utility tunnel,an air volume regulation system based on fuzzy PID control is put forward.The specific research contents are as follows:1.Combined with the existing research of ventilation technology in utility tunnel and the mature research results of ventilation in other fields,the characteristics of tunnel ventilation system are analyzed,which makes full preparations for designing control scheme for ventilation system of utility.2.The sensor data(the contents of carbon monoxide,temperature,hydrogen sulfide and oxygen)collected in the utility tunnel is treated through two stages of fusion with information fusion technology.First,the Kalman filter fusion algorithm is used for the first level fusion of the collected sensing data,which mainly eliminates the abnormal and noisy data.Then,the BP neural network fusion algorithm is used to fuse the heterogeneous environment data of the first level fusion results to two levels,and the corresponding ventilation volume in different environments is obtained.Finally,the computer simulation software is used to simulate the established model,and the results show that the fusion model is reliable and effective,which lays the foundation for intelligent control of utility tunnel air volume regulation system.3.As utility tunnel ventilation system with time-varying,time-delay and nonlinearity is complicated,and combining the advantages of fuzzy control and PID control,a tunnel ventilation system based on fuzzy PID control is carried out.Besides,the designed ventilation system is verified with simulation experiment and compared with the conventional PID control,the results show that the air volume regulation system based on the fuzzy PID control has obvious superiority.
Keywords/Search Tags:ventilation system of utility tunnel, fuzzy PID control, Kalman filter, BP neural network
PDF Full Text Request
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