Study On The Application Of Chaos Ant Colony Optimization Algorithm To The Chilled Water Control System Of Central Air-conditioning

Building, industrial and transportation energy consumption are the biggest three"families" of energy consumption in China. The building energy consumptionaccounts for30%of the total social energy consumption and more specifically theenergy consumption of air-conditioning system occupies about60~70%, from whichwe can see that the energy consumption of air-conditioning occupies a largeproportion of the entire social energy consumption. At present, the control systems ofcentral air-conditioning are designed in accordance with users’ rated maximum load.But central air-conditioning belongs to time-varying systems, so its system load willchange with external factors such as season, time, etc. Traditional control mode ofscheduling operating point can not track changes in load, which is an important causefor high energy consumption of air conditioning. How to ensure that the coolingcapacity of air conditioning is consistent with users’ load is the key issue of the study.To sum up, it is of a certain significance for reducing energy consumption ofair-conditioning system to try to find the best operating point for the system to runwithin the full load range.The chilled water control system of central air-conditioning is a complex controlsystem, so using the traditional PID control method which can not meet theperformance requirements of the control system and its energy consumption isrelatively larger. This paper has designed a fuzzy self-adaptive PID controller, and theswarm intelligence algorithm has been applied to the parameter optimization of thecontroller. First, we make a in-depth research on the features of the chilled watersystem of central air-conditioning and its energy consumption, and formulatecontrolling strategies for the system; Next, we design the fuzzy PID controlleraccording to the energy-control strategies, finish the selection and quantification of the input and output variables of the fuzzy self-adaptive system, establish a set offuzzy control rules with the experts’ experience, complete the design of rule base forcontrol system and make a fuzzy reasoning and defuzzification adopting theMIN-MAX gravity method; Finally, we study on the application of ant colony andchaos algorithm to parameter optimization on account of the flaws of fuzzy controllerdesign, combine the respective strengths of the ant colony algorithm and chaosalgorithm in parameter optimization to make it have a better global search ability anda higher ability in accuracy and search speed. Chaotic ant colony algorithm is appliedto the optimization of fuzzy controller parameters (quantification factor, scale factor),and its algorithm program has been designed accordingly.After the simulation experiment of the designed fuzzy PID controller via theMATLAB software, we also make an optimization of the fuzzy PID controllerparameters by use of chaos ant colony algorithm. Apply the optimized parameters tothe fuzzy PID controller to achieve the second-order response curve, and make acontrast with the simulated curve before the parameters being optimized, finding thatall the functions have improved. In addition, we also conduct a simulation experimentunder the situation of variable load, finding that the response curve can quicklystabilize. Through simulation studies, we conclude that the application of chaotic antcolony algorithm to the optimization of fuzzy PID controller parameters can betteradapt to the time variation of the chilled water system, and verify the feasibility of thealgorithm in the chilled water system of central air-conditioning. This paper providessome theoretical guidance for the design of energy-saving control of air-conditioningsystem.