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Fuzzy controller in the central air-conditioning control system

g/m3 air density 1.25kg/mCp a heat value of water,[link widoczny dla zalogowanych], 4.1868kJ/kg ~ CCpa an air heat value 1.005kJ/kg ~ C (UA) factors of a transmission unit, the air conditioning unit value for the Change the laplace 0.04kJ/sC get: 1 2007 Refrigeration and Air Conditioning 49 calendar adopted in accordance with our air conditioning system, are C, m = 4.5PwC + (uA). = O. 281 so hot coil model: G () =- 4. Similarly, a 0.28-5S + are: 1 spray chamber G () 1 sensor G () room, the room model, with = 3 × 3 × 4m room, two rooms, the load is 0.15kW, lamp load to 0.5kW, winter outdoor temperature taken 0 ~ C, air-conditioning supply air temperature required 200C. Taking into account the different effects of each wall to establish models, assuming that the impact of the wall the same thing Ding, north and south walls of the same. This does not go into detail, only the room is given well-established formula for the transfer function of the wall: the east wall: G () 1 North Wall: G () 1 ground () 1 Ceiling: G () other factors interfering with the step function using the formula set up air-conditioned room subsystems, simulation when MATLB / Smf 【JLINK directly call. 3.2 PID control and fuzzy control system simulation model using MATLAB Simulink and Fuzzy Toolbox in the above object of the simulation. Operation mode in the menu, you must first create FuzzyLogicController module and fzy2. fis the links between the files. \set the simulation parameters and simulation. pieces of saying din Figure 5 PlD control air-conditioning system simulation block diagram in Figure 6 Block diagram of fuzzy control air-conditioning system refrigeration and air conditioning 2007 1 Figure 7PID control the output of the simulation curve simulation curve lap 8 the output of fuzzy control 4 Simulation results and conclusions (1) can be seen from the simulation graph, P] D control the temperature began to more volatile, in = 120 seconds the temperature reached almost 24 degrees, approximately 360 seconds after the system was stable. Systems using Fuzzy Control , simulation results show that small temperature fluctuations, in = 270 seconds the temperature of air-conditioning system reaches the set temperature, after which the temperature remained stable. (2) The simulation results show that, due to the delayed impact of air-conditioning system, making the conventional PID control is not satisfactory, the control of room temperature fluctuations on relatively large; true nonlinear characteristics of the C system, the design of the fuzzy controller based on dynamic model, simulation results show that in the MATLAB environment, the control method can improve the temperature stability sex, this control method has strong robustness, fast response time, small fluctuations and so on. so fuzzy controller in the air conditioning system has wide application. References 【1】 PerBrath, HenrikRasmussen,[link widoczny dla zalogowanych], ToreHaggltmdControloftheOutletAirTempertureinallAirHandlingUnitUkaccInternationalCoNFERENCEONcontrol1-4September1998 【2】 Press the new, Zhou Lu,[link widoczny dla zalogowanych], Li Dongjiang other. MATLAB fuzzy logic toolbox of analysis and application, Beijing: Science Press, 2001 【3】 BourhanTashoush,[link widoczny dla zalogowanych], M. Molhim, M.AL-RousanDynamicmodelofanHVACsystemforcontrolaIlalysisEnergy30 (2005) 1729-1745 【4】 Wang Guangyang based on fuzzy toolbox and SIMULINK simulation of fuzzy control system Anhui University of Technology 2001 1 (1 Cool

[51BehzadmoshiriandFarzanRshidistir-turningBasedFuzzyPIDControllcrs: ApplicatonbtoControlofNonlinearH, CSystemsIDEAL20O4, LNCS3177,[link widoczny dla zalogowanych], PP437-442, 2004

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