Font Size: a A A

Research On Intelligent Control Method Of Central Air Conditioning In Large Terminal

Posted on:2022-06-22Degree:MasterType:Thesis
Country:ChinaCandidate:T N WuFull Text:PDF
GTID:2532306488479004Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
With more and more emphasis on quality of life and comfort,central air conditioning,as the product of modern technology,has alleviated the discomfort caused by cold and heat,and has become an essential facility for public buildings.For airport terminals,the central air conditioning system creates a comfortable indoor environment for aviation passengers,while causes energy-intensive consumption problems.The power consumption of central air conditioning,as the major source of electricity consumption source of the terminal,accounts for almost 50% of the overall power consumption of the terminal.It is a hot issue in the field of public buildings central air conditioning control that how to improve the control effect of central air conditioning and the effective utilization rate of energy under the condition of ensuring the thermal comfort of air conditioning cooling area.The central air conditioner of terminal building is a complex integrated system,which is affected by weather condition,building configuration,internal personnel behavior and air conditioning design.Its main control difficulties are the uncertainty of system model,time-varying and large delay characteristics.Because of the poor dynamic characteristics of the air conditioning system under the traditional PID control mode,the water chilling unit needs to adjust the running load according to the real-time cooling condition at the end,which often leads to the water chilling unit running under low load and increases the energy consumption of the system.Therefore,an intelligent control method of terminal central air conditioning system is studied in this paper.Firstly,the equipment group control strategy and main control circuit of air conditioning system are analyzed according to the operation of central air conditioning system in terminal.And then a control method of fuzzy RBF neural network PID based on IBAS algorithm is proposed to improve the temperature control effect of air conditioning cooling area.Through comparison with other control methods,it is proved that the proposed method in this paper can not only improve the control performance of the system,but also enhance its adaptive ability and anti-interference ability.Finally,taking the central air conditioning system of an airport terminal as an example,an intelligent control system is designed by integrating the central air conditioning control strategy.It provides a feasible scheme for establishing communication with building automatic control system and realizing the integrated management of terminal building automatic control system.
Keywords/Search Tags:terminal, central air conditioning system, PID control, Beetle Antennae Search algorithm, fuzzy RBF neural network
PDF Full Text Request
Related items