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Control Algorithm And Simulation Of VAV BOX

Posted on:2013-08-30Degree:MasterType:Thesis
Country:ChinaCandidate:Z S WuFull Text:PDF
GTID:2248330395975256Subject:Instrumentation engineering
Abstract/Summary:PDF Full Text Request
Along with the gradually increasing living environment requirements of people, HVAChas become an essential part in the field.But the most difficult and hottest spot problem is howto achieve efficient operation, energy saving, high degree of automation. According to theEnergy Principle, the paper analyses the controlled room and each typical parts of variable airvolume(VAV)air conditioning system, establishes the mathematical models of the mainparts.The paper mainly analyses the most important terminal device and automatic controlsystem, and the establishes the double loop feedback model of the control system.Study on different control modes basis of building the VAV BOX double loop controlmodel.The main job.(1)We select the most widely used classical PID as the control loop controller and findthe optimal combination of parameters in PID, and put the model into the Matlab.Thesimulation experiment process and the result of the mathematical can inprove the detail ofsimulation model, and take the classical PID controller simulation results as thereferencewhich applied to the basis of two control methods for comparative analysis.(2)The combination of fuzzy control theory and the classical PID control, called fuzzyadaptive PID controller. Fuzzy adaptive PID controller can work out the parametersoptimization by classical PID produced three parameters and feed them to PID that generatethe controlling effect.That is a parameter self-adjusting process.(3)The intelligent algorithm is one of the most active areas of modern control theory inrecent years, the main theory is to design a new algorithm and realize complex control processwhich consum the least resources to achieve the best control effect.Particle swarm algorithmis a simple algorithm, fast convergence speed, control effect significant advantages.Theintroduction of the VAV BOX control system and the classical PID that combine to produce anew section controller based on particle swarm optimization and PID. With the simulationexperiment being drawn, That is excellent control effect.Build the control loop of VAV BOX, and take the PID controller as the basis and changeparameters of various control methods, and finally use the simulation software. Takethe result of various control modes analyzed, obtained some conclusions with practical value. Thecontrol extend to the whole scope of variable air volume system, studying on the completeperformance system which is the ultimate goal. The variable air volume air conditioningsystem energy saving and its intelligent control technology improvement has certain referencesignificance.
Keywords/Search Tags:VAV, VAVBOX PID Fuzzy, control theory PSO
PDF Full Text Request
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